In [1]:
import pandas as pd
import numpy as np
import os
import matplotlib.pyplot as plt
import plotly.express as px
from collections import defaultdict
%matplotlib inline
In [2]:
### dataset loading
def data_loading (directory_file):
df = pd.concat([pd.read_csv(directory_file+'/' + i, sep=",",header=None) for i in os.listdir('namesbystate') if not i.startswith(".")]\
,ignore_index=True)
df.columns = ['State','Sex','Year_of_birth','Name','Num_of_occurrences']
print('There are {} states in the dataset and they are {}'.format(len(df.State.unique().tolist()),df.State.unique().tolist()))
### To check all 50 + D.C. are loaded correctly
return df
In [3]:
a = data_loading('namesbystate')
There are 51 states in the dataset and they are ['IN', 'IL', 'KS', 'SC', 'HI', 'GA', 'SD', 'CO', 'NH', 'MS', 'MD', 'UT', 'LA', 'ME', 'WI', 'NJ', 'AR', 'NY', 'MT', 'OK', 'MA', 'NM', 'WY', 'OH', 'OR', 'NV', 'TX', 'TN', 'AZ', 'MN', 'WA', 'WV', 'NC', 'MO', 'AL', 'VA', 'CA', 'CT', 'AK', 'ND', 'VT', 'MI', 'NE', 'KY', 'ID', 'DC', 'IA', 'FL', 'PA', 'RI', 'DE']
In [4]:
a.head(10)
Out[4]:
| State | Sex | Year_of_birth | Name | Num_of_occurrences | |
|---|---|---|---|---|---|
| 0 | IN | F | 1910 | Mary | 619 |
| 1 | IN | F | 1910 | Helen | 324 |
| 2 | IN | F | 1910 | Ruth | 238 |
| 3 | IN | F | 1910 | Dorothy | 215 |
| 4 | IN | F | 1910 | Mildred | 200 |
| 5 | IN | F | 1910 | Margaret | 196 |
| 6 | IN | F | 1910 | Thelma | 137 |
| 7 | IN | F | 1910 | Edna | 113 |
| 8 | IN | F | 1910 | Martha | 112 |
| 9 | IN | F | 1910 | Hazel | 108 |
Question 2: Detecting Gender Neutral Name¶
The detection will be based on two derived fields and an algorithm designed to calculate a gender neutral score¶
1) Derived fields¶
a. Absolute Number Difference $\;\;\;$ b. Percentage Difference after Normalization
¶
2) Algorithm¶
a. Criteria¶
I.high total name occurrences -impact $\;\;\;$ II.low percentage difference -neutrality¶
b. Rationale¶
- After looking at the percentage difference and total count of each name, I realized that there is a trade off between a name being impactful or being more gender neutral. In order to accomodate the trade-off, the algorithm will take two factors into final score calculation; the first factor is percentage difference between names used for male and female, and the other is the total occurrences of the name.¶
- Since the objective of the algorithm is to find out gender nuetral names, the weighting coefficient for percentage difference and total count are 1, 0.75 respectively. (we could adjust the coefficients and test different ratio later )¶
Further notes:¶
a) we exclude names with percent difference greater than 50% as it indicates strong gender-inclination¶
b) 'Unknown' is also excluded from the final name lists¶
c. Design¶
step 1: rank num_of_occurrences and percent_diff¶
step 2: low percent_diff receive higher rank and high-ranked num_of_occurrences receive higher rank¶
step 3: evaluated the score: percent_diff_rank + 0.75*Total_num_rank
¶
3) Two outcomes¶
a.names with equal distribution across genders $\;\;\;$ b.names with high combined scores¶
In [5]:
def gender_neutral_visualize (df):
### visualization of name lists with equal distribution between genders
### and understanding the trade off between percentent difference and total number of occurrences
gender_df = df.groupby(['Name','Sex']).agg({'Num_of_occurrences': 'sum'}).unstack().fillna(0)
bi_gender = gender_df.Num_of_occurrences[(gender_df.Num_of_occurrences.F > 0) & (gender_df.Num_of_occurrences.M > 0)]
### Deriving two filds
bi_gender['diff'] = abs(bi_gender.F - bi_gender.M)
bi_gender['percent_dff'] = abs(bi_gender.F - bi_gender.M )/(bi_gender.M+bi_gender.F)
bi_gender['Total_num'] = bi_gender.M+bi_gender.F
absolute_equal = bi_gender[(bi_gender['percent_dff'] == 0)] ### -> this gives a dataframe with names that are equally
absolute_equal.reset_index(inplace = True) ### shared between men and women
### Plotting for equally shared name and the total occurences of the name
f, (ax1, ax2) = plt.subplots(1, 2, figsize=(25,10))
x = absolute_equal.Name.tolist()
y_pos = np.arange(len(x))
y = absolute_equal['Total_num'].tolist()
ax1.bar(y_pos, y, align='center', alpha=0.6)
ax1.set_xticks(y_pos)
ax1.set_xticklabels(x, rotation=90)
ax1.set_ylabel('Num of Occurrences')
ax1.set_title('Absolute Gender Neutral Names')
max_state = absolute_equal[absolute_equal.Total_num==absolute_equal.Total_num.max()].Name.values[0]
print(max_state)
arrow_x = absolute_equal[absolute_equal.Total_num==absolute_equal.Total_num.max()].index.values[0] + 0.5
arrow_y = absolute_equal.Total_num.max() -1
ax1.annotate('max name is {} and the total count is {}'.format(max_state,absolute_equal.Total_num.max()) \
, xy=(arrow_x, arrow_y), xytext=(arrow_x-20, arrow_y), arrowprops=dict(facecolor="black", width=4,headwidth=10, shrink=0.2))
### Plotting for percent difference against total number of occurrences
ax2.scatter(x=bi_gender['percent_dff'],y=bi_gender['Total_num'])
ax2.set_xlabel('Normalized Difference')
ax2.set_ylabel('Num of occurrences')
ax2.set_title('occurrences and Percent_diff Trade-off')
Outcome 1: The list of names that are equally distributed between genders and a trade off between percent_diff and total number of occurrences¶
In [6]:
gender_neutral_visualize(a)
Rei
In [7]:
def algorithm_calculation (df, location='All'):
gender_df = df.groupby(['Name','Sex']).agg({'Num_of_occurrences': 'sum'}).unstack().fillna(0)
bi_gender = gender_df.Num_of_occurrences[(gender_df.Num_of_occurrences.F > 0) & (gender_df.Num_of_occurrences.M > 0)]
bi_gender['percent_dff'] = abs(bi_gender.F - bi_gender.M )/(bi_gender.M+bi_gender.F)
bi_gender['Total_num'] = bi_gender.M+bi_gender.F ### replicating the aggregated and derived dataframe
bi_gender_ii = bi_gender[(bi_gender['percent_dff']<=0.5) & (bi_gender.index!= 'Unknown')].copy()
bi_gender_ii['percent_diff_rank'] = bi_gender_ii['percent_dff'].rank(ascending=False) ### ranking the total percent_diff, the lower the higher rank score
bi_gender_ii['Total_num_rank'] = bi_gender_ii['Total_num'].rank() ### ranking the total num, the higher the higher rank score
bi_gender_ii['score'] = bi_gender_ii['percent_diff_rank']+0.75*bi_gender_ii['Total_num_rank'] ### combined score calculate by the weighting coefficient
bi_gender_ii.sort_values(by='score',ascending = False, inplace = True)
print(bi_gender_ii.head(10).to_string())
print('\n the top {} suggested highly gender nuetral names in {} are \n {}'.format(len(bi_gender_ii[0:100].index.tolist()),location, bi_gender_ii[0:100].index.tolist()))
Outcome 2 (a): Caculated Scores based on the defined algorithm and top 100 names for all states¶
In [8]:
algorithm_calculation(a) ### this show name list for all states
Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Kerry 45620.0 46346.0 0.007894 91966.0 494.0 522.0 885.50 Quinn 29791.0 28742.0 0.017922 58533.0 485.0 511.0 868.25 Kris 11020.0 10874.0 0.006668 21894.0 496.0 494.0 866.50 Justice 15229.0 15618.0 0.012611 30847.0 490.0 501.0 865.75 Lennon 3367.0 3339.0 0.004175 6706.0 497.0 466.0 846.50 Santana 3179.0 3173.0 0.000945 6352.0 499.0 463.0 846.25 Landry 3013.0 3019.0 0.000995 6032.0 498.0 461.0 843.75 Emerson 20175.0 18459.0 0.044417 38634.0 459.0 507.0 839.25 Arden 3211.0 3313.0 0.015635 6524.0 486.0 465.0 834.75 Robbie 18642.0 16988.0 0.046422 35630.0 456.0 505.0 834.75 the top 100 suggested highly gender nuetral names in All are ['Kerry', 'Quinn', 'Kris', 'Justice', 'Lennon', 'Santana', 'Landry', 'Emerson', 'Arden', 'Robbie', 'Jackie', 'Oakley', 'Riley', 'Infant', 'Baby', 'Tristyn', 'Kodi', 'Arlyn', 'Yael', 'Jessie', 'Elisha', 'Amari', 'Maxie', 'Kimani', 'Ivory', 'Nieves', 'Parris', 'Stevie', 'Blair', 'Michal', 'Gentry', 'Burnice', 'Armani', 'Frankie', 'Waverly', 'Carey', 'Natividad', 'Jael', 'Notnamed', 'Jaime', 'Harley', 'Charleston', 'Jaylin', 'Ashten', 'Casey', 'Devyn', 'Daylin', 'Claudie', 'Trinidad', 'Lorenza', 'Ashtin', 'Christan', 'Milan', 'Laramie', 'Devine', 'Peyton', 'Arin', 'Jaedyn', 'Ridley', 'Ocean', 'Ozell', 'Britt', 'Ryley', 'Harpreet', 'Tenzin', 'Jireh', 'Rumi', 'Finley', 'Rei', 'Alva', 'Garnett', 'Pat', 'Hoa', 'Reilly', 'Amrit', 'Rooney', 'Iran', 'Chong', 'Unnamed', 'Remy', 'Briar', 'Skyler', 'Amandeep', 'Teegan', 'Loghan', 'Amen', 'Divine', 'Rowan', 'Mandeep', 'Joell', 'Kalin', 'Charly', 'Cypress', 'Audie', 'Indiana', 'Aziah', 'Shea', 'Jazz', 'Sutton', 'Phoenix']
Outcome 2 (b): Caculated Scores based on the defined algorithm and top 100 names for each states¶
In [9]:
### this show name list for each state respectively
for i in a.State.unique().tolist():
print('\n')
print(i)
algorithm_calculation(a[a.State == i],location = i)
IN Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Riley 2436.0 2287.0 0.031548 4723.0 96.0 100.0 171.000 Jackie 2652.0 3069.0 0.072889 5721.0 85.0 102.0 161.500 Emerson 667.0 640.0 0.020658 1307.0 97.0 79.0 156.250 Quinn 733.0 793.0 0.039318 1526.0 93.0 84.0 156.000 Infant 412.0 417.0 0.006031 829.0 100.0 73.0 154.750 Dominique 599.0 558.0 0.035436 1157.0 94.0 78.0 152.500 Kris 398.0 409.0 0.013631 807.0 98.0 72.0 152.000 Peyton 1520.0 1877.0 0.105093 3397.0 79.0 95.0 150.250 Casey 1930.0 2507.0 0.130043 4437.0 76.0 99.0 150.250 Devyn 124.0 121.0 0.012245 245.0 99.0 50.5 136.875 the top 100 suggested highly gender nuetral names in IN are ['Riley', 'Jackie', 'Emerson', 'Quinn', 'Infant', 'Dominique', 'Kris', 'Peyton', 'Casey', 'Devyn', 'Carey', 'Emery', 'Sidney', 'Leighton', 'Lavon', 'Angel', 'Remy', 'Ali', 'Elisha', 'Gale', 'Ollie', 'Amari', 'Oakley', 'Darian', 'Cleo', 'Leslie', 'Darrian', 'Phoenix', 'Raleigh', 'Justice', 'Payton', 'Avery', 'Rowan', 'Khari', 'Lennon', 'Codi', 'Jessie', 'Dusty', 'Carrol', 'Camari', 'Finley', 'Skylar', 'Jaime', 'Kamari', 'Larkin', 'Reese', 'Kendall', 'Carrington', 'Marion', 'Harley', 'Jan', 'Ricki', 'Lynn', 'Dominque', 'Kerry', 'Blair', 'Ricci', 'Artie', 'Lennox', 'Jody', 'Remington', 'Arden', 'Baby', 'Azariah', 'Tegan', 'Gabrial', 'Charley', 'Santana', 'Storm', 'Carsyn', 'Billie', 'Bellamy', 'Wrigley', 'Jaylin', 'Charlie', 'Jaedyn', 'Pat', 'Armani', 'Cris', 'Ryley', 'River', 'Domonique', 'Salem', 'Sage', 'Montana', 'Rory', 'Aven', 'Murphy', 'Emory', 'Stevie', 'Jammie', 'Monroe', 'Braylin', 'Darby', 'Shea', 'Jourdan', 'Arie', 'Landry', 'Shay', 'Teegan'] IL Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Kerry 2414.0 2455.0 0.008421 4869.0 144.0 139.0 248.25 Kendall 2531.0 2456.0 0.015039 4987.0 141.0 140.0 246.00 Jackie 4032.0 3228.0 0.110744 7260.0 123.0 146.0 232.50 Riley 4107.0 3026.0 0.151549 7133.0 117.0 145.0 225.75 Emery 669.0 579.0 0.072115 1248.0 130.0 119.0 219.25 Amari 836.0 1012.0 0.095238 1848.0 125.0 124.0 218.00 Casey 2543.0 3577.0 0.168954 6120.0 111.0 142.0 217.50 Blair 540.0 469.0 0.070367 1009.0 131.0 113.0 215.75 Devyn 233.0 229.0 0.008658 462.0 143.0 96.0 215.00 Quinn 1455.0 2016.0 0.161625 3471.0 114.0 132.0 213.00 the top 100 suggested highly gender nuetral names in IL are ['Kerry', 'Kendall', 'Jackie', 'Riley', 'Emery', 'Amari', 'Casey', 'Blair', 'Devyn', 'Quinn', 'Skyler', 'Gale', 'Charley', 'Carey', 'Lashawn', 'Jessie', 'Jaime', 'Kris', 'Andra', 'Emerson', 'Gerry', 'Ricki', 'Jael', 'Dusty', 'Sunny', 'Codi', 'Rene', 'Lennon', 'Rowan', 'Jaedyn', 'Elisha', 'Paris', 'Ivory', 'Payton', 'Kendal', 'Justice', 'Phoenix', 'Peyton', 'Mckinley', 'Palmer', 'Finley', 'Carrington', 'Leslie', 'Jan', 'Landry', 'Stevie', 'Ashtin', 'Marlow', 'Armoni', 'Hollis', 'Ollie', 'Ardell', 'Jaydyn', 'Armani', 'Micky', 'Lake', 'Charly', 'Lynell', 'Lashaun', 'Dakota', 'Leighton', 'Kamari', 'Remy', 'Lavern', 'Jodeci', 'River', 'Shea', 'Lavon', 'Frankie', 'Reilly', 'Billie', 'Oakley', 'Deondra', 'Daylin', 'Nazareth', 'Lashun', 'Jaidyn', 'Campbell', 'Baby', 'Monroe', 'Harley', 'Arin', 'Germaine', 'Storm', 'Krishna', 'Avery', 'Jaylin', 'Clarke', 'Kenyatta', 'Ryley', 'Angel', 'Payson', 'Arrow', 'Jordan', 'Sage', 'Pat', 'Britt', 'Bobbie', 'Merle', 'Robbie'] KS Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Lynn 1079.0 1169.0 0.040036 2248.0 75.0 71.0 128.25 Riley 1182.0 1072.0 0.048802 2254.0 73.0 72.0 127.00 Jackie 1308.0 1104.0 0.084577 2412.0 67.0 75.0 123.25 Leslie 2469.0 1987.0 0.108169 4456.0 64.0 77.0 121.75 Laverne 322.0 355.0 0.048744 677.0 74.0 53.0 113.75 Kendall 446.0 583.0 0.133139 1029.0 61.0 62.0 107.50 Peyton 941.0 688.0 0.155310 1629.0 57.0 67.0 107.25 Dominique 211.0 183.0 0.071066 394.0 69.0 45.0 102.75 Kerry 503.0 723.0 0.179445 1226.0 53.0 65.0 101.75 Darian 86.0 89.0 0.017143 175.0 79.0 30.0 101.50 the top 80 suggested highly gender nuetral names in KS are ['Lynn', 'Riley', 'Jackie', 'Leslie', 'Laverne', 'Kendall', 'Peyton', 'Dominique', 'Kerry', 'Darian', 'Amari', 'Quinn', 'Landry', 'Angel', 'Emerson', 'Rowan', 'Justice', 'Camdyn', 'Jaime', 'Jaylin', 'Ora', 'Whitley', 'Austyn', 'Sage', 'Bobbie', 'Kris', 'Kelly', 'Skylar', 'Ashton', 'Jaiden', 'Sutton', 'Carey', 'Codie', 'Remy', 'Devyn', 'Jordan', 'Pat', 'Payton', 'Sidney', 'Ali', 'Casey', 'Taylor', 'Emery', 'Cleo', 'Tracy', 'Jin', 'Harley', 'River', 'Oakley', 'Kasey', 'Laken', 'Montana', 'Rory', 'Billie', 'Marion', 'Frankie', 'Emory', 'Gail', 'Baylor', 'Lennox', 'Reece', 'Jaeden', 'Tory', 'Jaden', 'Yong', 'Brecken', 'Charley', 'Lindy', 'Remington', 'Young', 'Phoenix', 'Shay', 'Santana', 'Tegan', 'Fay', 'Karsen', 'Finnley', 'Palmer', 'Channing', 'Britt'] SC Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Avery 1316.0 1299.0 0.006501 2615.0 94.0 89.0 160.75 Jamie 2606.0 2216.0 0.080879 4822.0 82.0 94.0 152.50 Skyler 448.0 425.0 0.026346 873.0 91.0 75.0 147.25 Justice 343.0 363.0 0.028329 706.0 90.0 73.0 144.75 Amari 384.0 418.0 0.042394 802.0 88.0 74.0 143.50 Casey 1345.0 1103.0 0.098856 2448.0 74.0 87.0 139.25 Frankie 1097.0 1361.0 0.107404 2458.0 73.0 88.0 139.00 Harley 534.0 450.0 0.085366 984.0 81.0 76.0 138.00 Jackie 1811.0 2419.0 0.143735 4230.0 64.0 92.0 133.00 Kendall 941.0 758.0 0.107710 1699.0 72.0 81.0 132.75 the top 97 suggested highly gender nuetral names in SC are ['Avery', 'Jamie', 'Skyler', 'Justice', 'Amari', 'Casey', 'Frankie', 'Harley', 'Jackie', 'Kendall', 'Finley', 'Robbie', 'Jessie', 'Kristian', 'Dominique', 'Peyton', 'Ali', 'Jaidyn', 'Mckinley', 'Quinn', 'Milan', 'Riley', 'Kerry', 'Marlo', 'Elisha', 'Emerson', 'Lavern', 'Landry', 'Royal', 'Rowan', 'Jordan', 'Shellie', 'Jonnie', 'Jaedyn', 'Jadan', 'Brighton', 'Lacy', 'Austyn', 'Mills', 'Johnnie', 'Ashton', 'Theo', 'Noel', 'Dakota', 'Kamari', 'Oakley', 'Domonique', 'Emory', 'Campbell', 'Ivory', 'Reese', 'Shay', 'Earlie', 'Curley', 'Kenyatta', 'Aubrey', 'Tracy', 'Hayden', 'Baylor', 'Leslie', 'Brantlee', 'Cleo', 'Billie', 'Antonia', 'Alva', 'Jordin', 'Lake', 'River', 'Ellison', 'Kris', 'Phoenix', 'Pernell', 'Kaidyn', 'Demetrice', 'Jalyn', 'Khari', 'Laverne', 'Charley', 'Demetris', 'Sullivan', 'Seneca', 'Pat', 'Kirby', 'Sevyn', 'Reilly', 'Leighton', 'Artie', 'Jayme', 'Dwan', 'Ari', 'Sutton', 'Lennie', 'Kingsley', 'Devyn', 'Karsen', 'Camdyn', 'Denver'] HI Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Leslie 808.0 877.0 0.040950 1685.0 37.0 39.0 66.25 Kendall 58.0 60.0 0.016949 118.0 38.0 23.0 55.25 Riley 340.0 452.0 0.141414 792.0 28.0 35.0 54.25 Robin 775.0 548.0 0.171580 1323.0 25.0 37.0 52.75 Payton 57.0 66.0 0.073171 123.0 34.0 25.0 52.75 Peyton 222.0 168.0 0.138462 390.0 29.0 31.0 52.25 Terry 353.0 519.0 0.190367 872.0 23.0 36.0 50.00 Elisha 13.0 15.0 0.071429 28.0 35.0 12.0 44.00 Casey 261.0 496.0 0.310436 757.0 18.0 34.0 43.50 Shannon 1150.0 534.0 0.365796 1684.0 15.0 38.0 43.50 the top 40 suggested highly gender nuetral names in HI are ['Leslie', 'Kendall', 'Riley', 'Robin', 'Payton', 'Peyton', 'Terry', 'Elisha', 'Casey', 'Shannon', 'Shiloh', 'Shea', 'Avery', 'Dale', 'Legacy', 'Emerson', 'Sky', 'Taylor', 'Quinn', 'Kaena', 'Ari', 'Kiyomi', 'Blair', 'Angel', 'Charlie', 'Sage', 'Azariah', 'Kyrie', 'Darian', 'Phoenix', 'Hayden', 'Dakota', 'Kris', 'Amari', 'River', 'Jaylen', 'Raven', 'Kamalei', 'Keona', 'Alize'] GA Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Jackie 3552.0 3548.0 0.000563 7100.0 162.0 165.0 285.750 Jessie 7744.0 6856.0 0.060822 14600.0 149.0 171.0 277.250 Skyler 1058.0 1075.0 0.007970 2133.0 161.0 146.0 270.500 Angel 4468.0 3625.0 0.104164 8093.0 131.0 166.0 255.500 Dominique 1061.0 1251.0 0.082180 2312.0 140.0 148.0 251.000 Quinn 428.0 400.0 0.033816 828.0 154.0 129.0 250.750 Casey 2480.0 3086.0 0.108875 5566.0 129.0 162.0 250.500 Riley 3535.0 2662.0 0.140875 6197.0 122.0 163.0 244.250 Phoenix 361.0 403.0 0.054974 764.0 150.0 124.5 243.375 Alva 242.0 229.0 0.027601 471.0 158.0 112.0 242.000 the top 100 suggested highly gender nuetral names in GA are ['Jackie', 'Jessie', 'Skyler', 'Angel', 'Dominique', 'Quinn', 'Casey', 'Riley', 'Phoenix', 'Alva', 'Emerson', 'Justice', 'Peyton', 'Amari', 'Avery', 'Johnnie', 'Baby', 'Marion', 'Harley', 'Rene', 'Pat', 'Robbie', 'Jaime', 'Campbell', 'Camdyn', 'Kris', 'Demetrice', 'Kristian', 'Kamdyn', 'Kamari', 'Lennon', 'Frankie', 'Remy', 'Charleston', 'Jamie', 'Ryley', 'Kendall', 'Rowan', 'Aubrey', 'Jaidyn', 'Kylar', 'Jonnie', 'Tommie', 'Elisha', 'Kaylon', 'Lorin', 'Kimani', 'Dominque', 'Ivory', 'Codi', 'Francis', 'Tracy', 'Domonique', 'Ari', 'Jordan', 'Jammie', 'Sage', 'Cameran', 'Payton', 'Sutton', 'Larkin', 'Payden', 'Kree', 'Catlin', 'Ayomide', 'Aries', 'Lavoris', 'Braylyn', 'Devyn', 'Kaidyn', 'Jael', 'Antonia', 'Palmer', 'Marlo', 'Lannie', 'True', 'Loren', 'Austyn', 'Armani', 'River', 'Oakley', 'Ramsey', 'Arion', 'Ridley', 'Landry', 'Mckinley', 'Audie', 'Tai', 'Billie', 'Masyn', 'Laiken', 'Clide', 'Krishna', 'Ivey', 'Odell', 'Finley', 'Royal', 'Dakota', 'Emery', 'Jules'] SD Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Lynn 716.0 582.0 0.103236 1298.0 28.0 26.0 47.50 Kelly 1145.0 897.0 0.121450 2042.0 24.0 30.0 46.50 Peyton 262.0 244.0 0.035573 506.0 29.0 22.0 45.50 Dana 394.0 312.0 0.116147 706.0 26.0 23.0 43.25 Kerry 145.0 180.0 0.107692 325.0 27.0 19.0 41.25 Payton 223.0 175.0 0.120603 398.0 25.0 20.0 40.00 Leslie 540.0 983.0 0.290873 1523.0 16.0 28.0 37.00 Taylor 1193.0 555.0 0.364989 1748.0 14.0 29.0 35.75 Pat 159.0 124.0 0.123675 283.0 23.0 17.0 35.75 Remington 31.0 33.0 0.031250 64.0 30.0 4.0 33.00 the top 30 suggested highly gender nuetral names in SD are ['Lynn', 'Kelly', 'Peyton', 'Dana', 'Kerry', 'Payton', 'Leslie', 'Taylor', 'Pat', 'Remington', 'Jamie', 'Oakley', 'Sage', 'Kim', 'Sutton', 'Rowan', 'Skylar', 'Charlie', 'Kasey', 'Marion', 'Lennox', 'Sidney', 'Finley', 'Laverne', 'Leighton', 'Kendall', 'Teagan', 'Fay', 'Emerson', 'Justice'] CO Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Riley 1986.0 1883.0 0.026622 3869.0 72.0 72.0 126.00 Quinn 795.0 906.0 0.065256 1701.0 64.0 66.0 113.50 Kris 202.0 198.0 0.010000 400.0 73.0 48.0 109.00 Kerry 574.0 486.0 0.083019 1060.0 63.0 61.0 108.75 Jaime 673.0 912.0 0.150789 1585.0 53.0 65.0 101.75 Lennon 70.0 69.0 0.007194 139.0 74.0 35.0 100.25 Pat 554.0 428.0 0.128310 982.0 56.0 59.0 100.25 Sidney 335.0 429.0 0.123037 764.0 57.0 55.0 98.25 Oakley 78.0 72.0 0.040000 150.0 70.0 36.0 97.00 Marion 650.0 431.0 0.202590 1081.0 47.0 62.0 93.50 the top 76 suggested highly gender nuetral names in CO are ['Riley', 'Quinn', 'Kris', 'Kerry', 'Jaime', 'Lennon', 'Pat', 'Sidney', 'Oakley', 'Marion', 'Justice', 'Amari', 'Jordan', 'Harley', 'Gale', 'Landry', 'Rene', 'Trinidad', 'Rowan', 'Sage', 'Jessie', 'Dakota', 'Linden', 'Rian', 'Baylor', 'Sutton', 'Hollis', 'Lorin', 'Skyler', 'Finley', 'Taylor', 'Shia', 'Emerson', 'Peyton', 'Remy', 'Ryley', 'Palmer', 'Salem', 'Finnley', 'Darrian', 'Lynn', 'Charley', 'Angel', 'River', 'Austyn', 'Talyn', 'Val', 'Phoenix', 'Leslie', 'Casey', 'Dakotah', 'Blair', 'Devyn', 'Ali', 'Charlie', 'Emory', 'Jaiden', 'Kasey', 'Britt', 'Jorden', 'Murphy', 'Torrey', 'Azariah', 'Kyrie', 'Shea', 'Ellis', 'Tennyson', 'Reilly', 'Jaydin', 'Lennox', 'Denver', 'Jael', 'Anay', 'Bellamy', 'Camdyn', 'Carrol'] NH Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Riley 557.0 570.0 0.011535 1127.0 16.0 14.0 26.50 Terry 307.0 328.0 0.033071 635.0 15.0 11.0 23.25 Quinn 216.0 213.0 0.006993 429.0 17.0 8.0 23.00 Casey 351.0 472.0 0.147023 823.0 12.0 13.0 21.75 Jordan 515.0 1041.0 0.338046 1556.0 9.0 16.0 21.00 Baby 205.0 251.0 0.100877 456.0 13.0 9.0 19.75 Leslie 496.0 292.0 0.258883 788.0 10.0 12.0 19.00 Jamie 918.0 384.0 0.410138 1302.0 5.0 15.0 16.25 Finley 65.0 58.0 0.056911 123.0 14.0 3.0 16.25 Taylor 1193.0 443.0 0.458435 1636.0 2.0 17.0 14.75 the top 17 suggested highly gender nuetral names in NH are ['Riley', 'Terry', 'Quinn', 'Casey', 'Jordan', 'Baby', 'Leslie', 'Jamie', 'Finley', 'Taylor', 'River', 'Rowan', 'Lee', 'Kerry', 'Emerson', 'Devan', 'Jody'] MS Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Jackie 1732.0 1977.0 0.066056 3709.0 90.0 91.0 158.25 Aubrey 1223.0 1220.0 0.001228 2443.0 93.0 84.0 156.00 Jessie 7309.0 9572.0 0.134056 16881.0 73.0 100.0 148.00 Riley 825.0 988.0 0.089906 1813.0 85.0 79.0 144.25 Payton 410.0 382.0 0.035354 792.0 91.0 71.0 144.25 Marion 1453.0 1844.0 0.118593 3297.0 78.0 88.0 144.00 Amari 316.0 361.0 0.066470 677.0 89.0 67.0 139.25 Jonnie 217.0 225.0 0.018100 442.0 92.0 62.0 138.50 Skyler 274.0 318.0 0.074324 592.0 88.0 66.0 137.50 Leslie 2605.0 1819.0 0.177667 4424.0 64.0 96.0 136.00 the top 100 suggested highly gender nuetral names in MS are ['Jackie', 'Aubrey', 'Jessie', 'Riley', 'Payton', 'Marion', 'Amari', 'Jonnie', 'Skyler', 'Leslie', 'Frankie', 'Alva', 'Kendall', 'Johnnie', 'Casey', 'Cleo', 'Maxie', 'Jamie', 'Francis', 'Vernell', 'Emerson', 'Kristian', 'Avery', 'Lynn', 'Lennon', 'Billie', 'Ocie', 'Zyon', 'Peyton', 'Oakley', 'Jaidyn', 'Ollie', 'Palmer', 'Zion', 'Phoenix', 'Devyn', 'Levern', 'Montez', 'Elisha', 'Landry', 'Dee', 'Tracy', 'Jaylyn', 'Legacy', 'Justice', 'Claudie', 'Taylor', 'Climmie', 'Jodie', 'Lacy', 'Earlie', 'Sandy', 'Lynell', 'Ashten', 'Unnamed', 'Oddie', 'Kamari', 'Nakia', 'Jordan', 'Ardell', 'Sage', 'Rowan', 'Kenyatta', 'Shelby', 'Shannon', 'Dakota', 'Harley', 'Lannie', 'Ivory', 'Sherrill', 'Stacy', 'Kelly', 'Demetric', 'River', 'Stephan', 'Royal', 'Pat', 'Dominique', 'Mckinley', 'Lashawn', 'Armani', 'Demetri', 'Reese', 'Cortney', 'Tatum', 'Jalyn', 'Jordin', 'Osie', 'Kris', 'Lavell', 'Denver', 'Arlie', 'Lemmie', 'Deandra', 'Quinn', 'Ozzie', 'Marlo', 'Campbell', 'Nicky', 'Taylin'] MD Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Dakota 715.0 765.0 0.033784 1480.0 78.0 74.0 133.50 Noel 262.0 276.0 0.026022 538.0 79.0 60.0 124.00 Quinn 614.0 517.0 0.085765 1131.0 70.0 71.0 123.25 Justice 302.0 272.0 0.052265 574.0 77.0 61.0 122.75 Phoenix 177.0 174.0 0.008547 351.0 80.0 55.0 121.25 Skyler 382.0 323.0 0.083688 705.0 72.0 65.0 120.75 Blair 338.0 267.0 0.117355 605.0 67.0 62.0 113.50 Casey 1682.0 1102.0 0.208333 2784.0 54.0 79.0 113.25 Emerson 335.0 475.0 0.172840 810.0 62.0 68.0 113.00 Jackie 740.0 491.0 0.202275 1231.0 55.0 72.0 109.00 the top 84 suggested highly gender nuetral names in MD are ['Dakota', 'Noel', 'Quinn', 'Justice', 'Phoenix', 'Skyler', 'Blair', 'Casey', 'Emerson', 'Jackie', 'Rowan', 'Elisha', 'Royal', 'Avery', 'Amen', 'Angel', 'Riley', 'Kris', 'Terry', 'Baby', 'Camdyn', 'Rian', 'Nana', 'Jaylin', 'Amari', 'Child', 'Peyton', 'Marion', 'Finley', 'River', 'Dominque', 'Ayomide', 'Ellison', 'Andra', 'Briar', 'Kamil', 'Ollie', 'Jordan', 'Dominique', 'Armani', 'Denver', 'Stevie', 'Kendall', 'Storm', 'Samari', 'Austyn', 'Charlie', 'Montana', 'Hayden', 'Loren', 'Monroe', 'Kerry', 'Chayse', 'Dereon', 'Oluwadarasimi', 'Semaj', 'Kamdyn', 'Reese', 'Kristian', 'Remy', 'Jan', 'Oakley', 'Divine', 'Rory', 'Clarke', 'Shiloh', 'Harley', 'Tru', 'Sage', 'Azariah', 'Name', 'Merle', 'Reilly', 'Rowen', 'True', 'Jourdan', 'Braylin', 'Page', 'Lindy', 'Khari', 'Damani', 'Jaedyn', 'Kimani', 'Kendell'] UT Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Kim 1270.0 1325.0 0.021195 2595.0 60.0 59.0 104.25 Taylor 3236.0 3630.0 0.057384 6866.0 53.0 63.0 100.25 Payton 701.0 636.0 0.048616 1337.0 56.0 52.0 95.00 Sidney 361.0 368.0 0.009602 729.0 61.0 44.0 94.00 Kelly 2237.0 2882.0 0.126001 5119.0 46.0 62.0 92.50 Skylar 364.0 408.0 0.056995 772.0 54.0 46.0 88.50 Peyton 809.0 573.0 0.170767 1382.0 43.0 54.0 83.50 Teagan 197.0 178.0 0.050667 375.0 55.0 34.0 80.50 Brighton 187.0 215.0 0.069652 402.0 52.0 35.0 78.25 Quinn 537.0 825.0 0.211454 1362.0 38.0 53.0 77.75 the top 63 suggested highly gender nuetral names in UT are ['Kim', 'Taylor', 'Payton', 'Sidney', 'Kelly', 'Skylar', 'Peyton', 'Teagan', 'Brighton', 'Quinn', 'Darian', 'Tracy', 'Finnley', 'Shay', 'Kris', 'Charlie', 'Jamey', 'Riley', 'Ari', 'Tru', 'Rey', 'Harley', 'Kay', 'Justice', 'Kendall', 'Remy', 'Quincy', 'Corby', 'Marion', 'Jaime', 'Cedar', 'Finley', 'Camdyn', 'Tristyn', 'Kacey', 'Tatum', 'Campbell', 'Morgan', 'Reece', 'Dakota', 'Channing', 'Tegan', 'Rowan', 'Sage', 'Angel', 'Kasey', 'Emerson', 'Lennon', 'Phoenix', 'Jody', 'Palmer', 'Bentley', 'River', 'Kamdyn', 'Lennox', 'Rene', 'Jaiden', 'Shea', 'Dominique', 'Hinckley', 'Lyric', 'Kit', 'Amari'] LA Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Riley 1644.0 1462.0 0.058596 3106.0 103.0 101.0 178.75 Emery 446.0 420.0 0.030023 866.0 112.0 86.0 176.50 Jessie 4600.0 5937.0 0.126886 10537.0 88.0 116.0 175.00 Pat 388.0 357.0 0.041611 745.0 108.0 85.0 171.75 Casey 1860.0 2393.0 0.125323 4253.0 89.0 109.0 170.75 Ivy 984.0 810.0 0.096990 1794.0 96.0 95.0 167.25 Payton 963.0 760.0 0.117818 1723.0 90.0 94.0 160.50 Robbie 642.0 512.0 0.112652 1154.0 91.0 92.0 160.00 Frankie 1159.0 882.0 0.135718 2041.0 87.0 97.0 159.75 Aubrey 2109.0 1477.0 0.176241 3586.0 76.0 106.0 155.50 the top 100 suggested highly gender nuetral names in LA are ['Riley', 'Emery', 'Jessie', 'Pat', 'Casey', 'Ivy', 'Payton', 'Robbie', 'Frankie', 'Aubrey', 'Landry', 'Jackie', 'Lynn', 'Karon', 'Audie', 'Johnnie', 'Skyler', 'Raleigh', 'Collins', 'Peyton', 'Devyn', 'Kristian', 'Vernell', 'Leighton', 'Emerson', 'Sutton', 'Claudie', 'Ari', 'Reese', 'Stevie', 'Elisha', 'Avery', 'Toi', 'Sage', 'Tai', 'Tommie', 'Jourdan', 'Anh', 'Briar', 'Austyn', 'Marion', 'Aubry', 'Waver', 'Ryley', 'Jodeci', 'Kendall', 'Justice', 'Taylor', 'Leslie', 'Jaylin', 'Palmer', 'Semaj', 'Blair', 'Shelby', 'Maxie', 'Denver', 'Dominique', 'Jamie', 'Lennon', 'Bradlee', 'Taylen', 'Phoenix', 'Darian', 'Whitney', 'Kris', 'Khari', 'Dakota', 'Ali', 'Oakley', 'Tylar', 'Shannon', 'Jody', 'Kendal', 'Golden', 'Darrian', 'Ocie', 'Alvie', 'Donzell', 'Harley', 'Demetris', 'Gianni', 'Jovan', 'Rowan', 'Odie', 'Mckinley', 'Quinn', 'Baylor', 'Shanon', 'Zion', 'Jammie', 'Shea', 'Dominque', 'Terrion', 'Sammie', 'Loren', 'Tatum', 'Germaine', 'River', 'Unnamed', 'Bralyn'] ME Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Leslie 716.0 807.0 0.059750 1523.0 17.0 18.0 30.500 Kerry 240.0 235.0 0.010526 475.0 19.0 13.0 28.750 Riley 471.0 551.0 0.078278 1022.0 15.0 17.0 27.750 Quinn 175.0 183.0 0.022346 358.0 18.0 12.0 27.000 Terry 727.0 1170.0 0.233527 1897.0 10.0 21.0 25.750 Casey 402.0 553.0 0.158115 955.0 13.0 16.0 25.000 Kendall 117.0 134.0 0.067729 251.0 16.0 11.0 24.250 Jamie 1106.0 590.0 0.304245 1696.0 7.0 20.0 22.000 Ali 5.0 5.0 0.000000 10.0 20.5 1.5 21.625 Baby 5.0 5.0 0.000000 10.0 20.5 1.5 21.625 the top 21 suggested highly gender nuetral names in ME are ['Leslie', 'Kerry', 'Riley', 'Quinn', 'Terry', 'Casey', 'Kendall', 'Jamie', 'Ali', 'Baby', 'Skyler', 'Finley', 'Avery', 'Rowan', 'Jordan', 'Theo', 'Jody', 'Jaiden', 'Emerson', 'Kris', 'Infant'] WI Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Angel 1218.0 1482.0 0.097778 2700.0 61.0 70.0 113.50 Gale 479.0 456.0 0.024599 935.0 70.0 56.0 112.00 Leslie 2817.0 2147.0 0.134972 4964.0 54.0 75.0 110.25 Emery 290.0 294.0 0.006849 584.0 72.0 49.0 108.75 Quinn 853.0 1070.0 0.112845 1923.0 57.0 66.0 106.50 Emerson 381.0 355.0 0.035326 736.0 68.0 51.0 106.25 Finley 390.0 456.0 0.078014 846.0 65.0 54.0 105.50 Dominique 499.0 416.0 0.090710 915.0 64.0 55.0 105.25 Peyton 1219.0 857.0 0.174374 2076.0 48.0 68.0 99.00 Unnamed 79.0 79.0 0.000000 158.0 75.0 32.0 99.00 the top 77 suggested highly gender nuetral names in WI are ['Angel', 'Gale', 'Leslie', 'Emery', 'Quinn', 'Emerson', 'Finley', 'Dominique', 'Peyton', 'Unnamed', 'Kerry', 'Lennon', 'Blair', 'Elisha', 'Riley', 'Justice', 'Marlyn', 'Laverne', 'Amari', 'Emory', 'Skyler', 'Avery', 'Payton', 'Shea', 'Luverne', 'Cher', 'Kalin', 'Baily', 'Rowan', 'Pat', 'Lennox', 'Reilly', 'Kris', 'Jamie', 'Jan', 'Casey', 'Devyn', 'Everest', 'Blayke', 'Reese', 'Frankie', 'Kasey', 'Chayse', 'Kendall', 'River', 'Shay', 'Jaylin', 'Ali', 'Jaedyn', 'Taylor', 'Jessie', 'Briar', 'Ardell', 'Carrol', 'Jadin', 'Jaiden', 'Ashtyn', 'Teegan', 'Phoenix', 'Sidney', 'Romaine', 'Carey', 'Harlyn', 'Sage', 'Jaime', 'Noel', 'Remy', 'London', 'Darian', 'Dominque', 'Harlow', 'Codi', 'Tegan', 'Oakley', 'Lucca', 'De', 'Dusty'] NJ Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Terry 2451.0 2431.0 0.004097 4882.0 64.0 65.0 112.75 Dakota 542.0 519.0 0.021678 1061.0 60.0 52.0 99.00 Quinn 838.0 779.0 0.036487 1617.0 55.0 56.0 97.00 Jan 821.0 761.0 0.037927 1582.0 54.0 55.0 95.25 Milan 297.0 313.0 0.026230 610.0 59.0 47.0 94.25 Blair 307.0 327.0 0.031546 634.0 56.0 48.0 92.00 Kris 179.0 183.0 0.011050 362.0 62.0 39.0 91.25 Armani 241.0 255.0 0.028226 496.0 57.0 45.0 90.75 Rene 486.0 565.0 0.075167 1051.0 51.0 51.0 89.25 Ariel 1357.0 1051.0 0.127076 2408.0 45.0 58.0 88.50 the top 68 suggested highly gender nuetral names in NJ are ['Terry', 'Dakota', 'Quinn', 'Jan', 'Milan', 'Blair', 'Kris', 'Armani', 'Rene', 'Ariel', 'Carmen', 'Pat', 'Elisha', 'Casey', 'Jaidyn', 'Devon', 'Lennon', 'Krishna', 'Jaime', 'Emerson', 'Jaylin', 'Dale', 'Skyler', 'Finley', 'Kenyatta', 'Remy', 'Tal', 'Jaquay', 'Khamani', 'Ollie', 'Phoenix', 'Nicola', 'Rowan', 'Lee', 'Emery', 'Germaine', 'Devan', 'Toby', 'Hayden', 'Jordan', 'Jullian', 'Sherron', 'Avery', 'Carey', 'Alexi', 'Noel', 'Riley', 'Baby', 'Mina', 'Reilly', 'River', 'Dallas', 'Chayse', 'Stevie', 'Jael', 'Shea', 'Remington', 'Michal', 'Chandler', 'Gerry', 'Lashawn', 'Legacy', 'Lindy', 'Emory', 'Shay', 'Azariah', 'Royal', 'Reign'] AR Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Jessie 4373.0 4449.0 0.008615 8822.0 95.0 102.0 171.50 Riley 1059.0 1045.0 0.006654 2104.0 96.0 90.0 163.50 Cleo 833.0 721.0 0.072072 1554.0 89.0 83.0 151.25 Payton 689.0 593.0 0.074883 1282.0 88.0 79.0 147.25 Johnnie 2273.0 3266.0 0.179274 5539.0 72.0 100.0 147.00 Lynn 612.0 764.0 0.110465 1376.0 84.0 81.0 144.75 Francis 937.0 738.0 0.118806 1675.0 80.0 84.0 143.00 Justice 219.0 199.0 0.047847 418.0 91.0 68.0 142.00 Peyton 763.0 1017.0 0.142697 1780.0 77.0 85.0 140.75 Aubrey 1224.0 864.0 0.172414 2088.0 73.0 89.0 139.75 the top 100 suggested highly gender nuetral names in AR are ['Jessie', 'Riley', 'Cleo', 'Payton', 'Johnnie', 'Lynn', 'Francis', 'Justice', 'Peyton', 'Aubrey', 'Marion', 'Casey', 'Loren', 'Baby', 'Angel', 'Gale', 'Mckinley', 'Frankie', 'Leslie', 'Jackie', 'Kristian', 'Dee', 'Tommie', 'Skyler', 'Ashton', 'Kendall', 'Aubry', 'Ardell', 'Willie', 'Odie', 'Sutton', 'Carey', 'Jordan', 'Pat', 'Lavon', 'Elisha', 'Maxie', 'Arlee', 'Raleigh', 'Carmon', 'Antonia', 'Finnley', 'Claudie', 'Oakley', 'Harley', 'Darian', 'Lennox', 'Taylor', 'Remy', 'Tracy', 'Quinn', 'Loise', 'Oval', 'Jaylyn', 'Phoenix', 'Amari', 'Shannon', 'Jaylin', 'Austyn', 'Landry', 'Channing', 'Kerry', 'Billie', 'Rowan', 'Avery', 'Vernie', 'Argie', 'Finley', 'Ivory', 'Ozie', 'Ali', 'Ozell', 'Micah', 'Ossie', 'Merle', 'Emory', 'Sammie', 'Dominique', 'Emerson', 'Ocie', 'Leighton', 'Kamdyn', 'Fay', 'Reese', 'Nakia', 'Kamari', 'Jaiden', 'Jaime', 'Beryl', 'Campbell', 'Kingsley', 'Oaklee', 'Lindy', 'Carsyn', 'Sage', 'Sherrill', 'Estel', 'Andra', 'Montana', 'Armani'] NY Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Jaime 4348.0 4181.0 0.019580 8529.0 173.0 184.0 311.00 Jan 2477.0 2436.0 0.008345 4913.0 175.0 179.0 309.25 Quinn 1795.0 1809.0 0.003885 3604.0 178.0 173.0 307.75 Ariel 4665.0 4261.0 0.045261 8926.0 162.0 186.0 301.50 Casey 4648.0 4064.0 0.067034 8712.0 156.0 185.0 294.75 Skyler 1280.0 1389.0 0.040839 2669.0 165.0 168.0 291.00 Pat 1671.0 1896.0 0.063078 3567.0 158.0 172.0 287.00 Laverne 1214.0 1062.0 0.066784 2276.0 157.0 167.0 282.25 Carey 525.0 556.0 0.028677 1081.0 169.0 148.0 280.00 Finley 375.0 368.0 0.009421 743.0 174.0 140.0 279.00 the top 100 suggested highly gender nuetral names in NY are ['Jaime', 'Jan', 'Quinn', 'Ariel', 'Casey', 'Skyler', 'Pat', 'Laverne', 'Carey', 'Finley', 'Milan', 'Tenzin', 'Elisha', 'Blair', 'Nicola', 'Hollis', 'Stevie', 'Shea', 'Harley', 'Phoenix', 'Jordin', 'Jaylin', 'Loren', 'Yuri', 'Shiloh', 'Devyn', 'Merle', 'Jourdan', 'Jaidyn', 'Emery', 'Dakota', 'Avery', 'Sunny', 'Terry', 'Rene', 'Jael', 'Rowan', 'Shay', 'Reilly', 'Lexington', 'Riley', 'Remy', 'Leighton', 'Samar', 'Kendall', 'Ollie', 'Kamani', 'Emerson', 'Alexi', 'Kris', 'Kiran', 'Dior', 'Paris', 'Gal', 'Wen', 'Santana', 'Andi', 'Tai', 'Azariah', 'Yu', 'Jaspreet', 'Lennon', 'Schyler', 'Shaune', 'Nuri', 'Payson', 'Jae', 'Abriel', 'Eliyah', 'Chevy', 'Dru', 'Bela', 'Harpreet', 'Zi', 'Unique', 'Dakotah', 'Jullian', 'Lian', 'Amandeep', 'Kareen', 'Carroll', 'Lee', 'Jackie', 'Arden', 'Sage', 'Ryley', 'Peyton', 'Aven', 'Jaedyn', 'Jessy', 'Adama', 'Campbell', 'Ronnie', 'Leslie', 'Rhyan', 'Tal', 'Karan', 'Jadyn', 'Lavern', 'Yuval'] MT Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Leslie 932.0 830.0 0.057889 1762.0 32.0 34.0 57.50 Pat 246.0 223.0 0.049041 469.0 34.0 26.0 53.50 Peyton 245.0 196.0 0.111111 441.0 29.5 25.0 48.25 Kelly 1526.0 930.0 0.242671 2456.0 22.0 35.0 48.25 Harley 76.0 75.0 0.006623 151.0 35.0 17.0 47.75 Taylor 1030.0 677.0 0.206796 1707.0 23.0 33.0 47.75 Quinn 142.0 180.0 0.118012 322.0 28.0 22.0 44.50 Payton 234.0 171.0 0.155556 405.0 26.0 24.0 44.00 Remington 28.0 31.0 0.050847 59.0 33.0 11.0 41.25 Kerry 220.0 159.0 0.160950 379.0 24.0 23.0 41.25 the top 35 suggested highly gender nuetral names in MT are ['Leslie', 'Pat', 'Peyton', 'Kelly', 'Harley', 'Taylor', 'Quinn', 'Payton', 'Remington', 'Kerry', 'Kasey', 'Jordan', 'Charlie', 'Finley', 'Kris', 'Sage', 'Dana', 'Riley', 'Jamey', 'Lynn', 'Rowan', 'River', 'Skylar', 'Baby', 'Hayden', 'Avery', 'Teagan', 'Phoenix', 'Justice', 'Remy', 'Austyn', 'Carey', 'Oakley', 'Jayme', 'Lindy'] OK Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Angel 1429.0 1361.0 0.024373 2790.0 102.0 97.0 174.75 Frankie 1412.0 1225.0 0.070914 2637.0 97.0 96.0 169.00 Lynn 992.0 1158.0 0.077209 2150.0 94.0 93.0 163.75 Riley 1421.0 1816.0 0.122027 3237.0 84.0 99.0 158.25 Tommie 712.0 837.0 0.080697 1549.0 92.0 87.0 157.25 Justice 325.0 308.0 0.026856 633.0 101.0 71.0 154.25 Dominique 283.0 312.0 0.048739 595.0 99.0 70.0 151.50 Sammie 300.0 347.0 0.072643 647.0 96.0 72.0 150.00 Leslie 3750.0 2498.0 0.200384 6248.0 69.0 104.0 147.00 Kendall 705.0 930.0 0.137615 1635.0 80.0 88.0 146.00 the top 100 suggested highly gender nuetral names in OK are ['Angel', 'Frankie', 'Lynn', 'Riley', 'Tommie', 'Justice', 'Dominique', 'Sammie', 'Leslie', 'Kendall', 'Jessie', 'Landry', 'Cleo', 'Jaiden', 'Oakley', 'Pat', 'Sutton', 'Jackie', 'Casey', 'Peyton', 'Darian', 'Jaime', 'Camdyn', 'Jaylin', 'Montana', 'Willie', 'Jody', 'Elisha', 'Kerry', 'Ashton', 'Gale', 'Jordan', 'Emerson', 'Devyn', 'Ali', 'Armani', 'Payden', 'Kamdyn', 'Baby', 'Carey', 'Payton', 'Johnnie', 'Ever', 'Kaedyn', 'Beryl', 'Audie', 'Remington', 'Emory', 'Kelly', 'Rebel', 'Dee', 'Taylor', 'Tracy', 'Myrl', 'Laramie', 'Harley', 'Rowan', 'Skylar', 'Gerry', 'Robbie', 'Francis', 'Darrian', 'Skyler', 'Phoenix', 'Lavern', 'Austyn', 'Merritt', 'River', 'Marion', 'Arrow', 'Nakia', 'Kylin', 'Kris', 'Jaden', 'Lakota', 'Lindy', 'Kendal', 'Tegan', 'Lennox', 'Tory', 'Vernie', 'Channing', 'Teegan', 'Emery', 'Quinn', 'Sage', 'Stevie', 'Bellamy', 'Reese', 'Merle', 'Chandler', 'Elliot', 'Carrol', 'Ryley', 'Leighton', 'Finley', 'Karsen', 'Laken', 'Kamari', 'Kristian'] MA Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Lee 2239.0 3064.0 0.155572 5303.0 44.0 51.0 82.25 Terry 1271.0 1073.0 0.084471 2344.0 47.0 46.0 81.50 Quinn 877.0 1040.0 0.085029 1917.0 46.0 44.0 79.00 Casey 2279.0 1584.0 0.179912 3863.0 41.0 50.0 78.50 Dakota 469.0 511.0 0.042857 980.0 49.0 39.0 78.25 Shea 355.0 342.0 0.018651 697.0 51.0 36.0 78.00 Emery 200.0 200.0 0.000000 400.0 53.0 32.0 77.00 Finley 190.0 183.0 0.018767 373.0 50.0 30.0 72.50 Riley 2431.0 1331.0 0.292398 3762.0 30.0 49.0 66.75 Jan 731.0 432.0 0.257094 1163.0 34.0 40.0 64.00 the top 54 suggested highly gender nuetral names in MA are ['Lee', 'Terry', 'Quinn', 'Casey', 'Dakota', 'Shea', 'Emery', 'Finley', 'Riley', 'Jan', 'Rowan', 'Dale', 'Amari', 'Emerson', 'Azariah', 'Ariel', 'Harley', 'Blair', 'Reilly', 'Jamie', 'Devyn', 'Loren', 'Sunny', 'Skyler', 'Lorin', 'Devon', 'Merle', 'Barrie', 'Kris', 'Toby', 'Jaime', 'Carmen', 'Jordan', 'Dominque', 'Campbell', 'Dana', 'River', 'Hayden', 'Shay', 'Devan', 'Lennon', 'Ryley', 'Amani', 'Milan', 'London', 'Tenzin', 'Phoenix', 'Daniele', 'Tiernan', 'Jaidyn', 'Jaylin', 'Stevie', 'Camdyn', 'Nicola'] NM Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Jessie 750.0 667.0 0.058574 1417.0 34.0 29.0 55.75 Riley 424.0 365.0 0.074778 789.0 33.0 25.0 51.75 Jody 193.0 164.0 0.081232 357.0 31.0 18.0 44.50 Jackie 597.0 405.0 0.191617 1002.0 24.0 27.0 44.25 Trinidad 131.0 110.0 0.087137 241.0 30.0 15.0 41.25 Justice 80.0 68.0 0.081081 148.0 32.0 10.0 39.50 Angel 1154.0 2335.0 0.338492 3489.0 13.0 34.0 38.50 Taylor 1322.0 553.0 0.410133 1875.0 11.0 31.0 34.25 Jordan 915.0 2228.0 0.417754 3143.0 9.0 33.0 33.75 Rowan 62.0 84.0 0.150685 146.0 27.0 9.0 33.75 the top 34 suggested highly gender nuetral names in NM are ['Jessie', 'Riley', 'Jody', 'Jackie', 'Trinidad', 'Justice', 'Angel', 'Taylor', 'Jordan', 'Rowan', 'Dakota', 'Rene', 'Quinn', 'Guadalupe', 'Kerry', 'Natividad', 'Terry', 'Darian', 'Avery', 'Kendall', 'Marion', 'Finley', 'Stevie', 'Reese', 'Peyton', 'Azariah', 'Sidney', 'Casey', 'Pat', 'Hayden', 'Lynn', 'Harley', 'Shea', 'Amari'] WY Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Kelly 786.0 447.0 0.274939 1233.0 14.0 18.0 27.50 Riley 181.0 306.0 0.256674 487.0 15.0 14.0 25.50 Kerry 54.0 46.0 0.080000 100.0 17.0 8.0 23.00 Leslie 479.0 237.0 0.337989 716.0 11.0 15.0 22.25 Jordan 301.0 640.0 0.360255 941.0 9.0 16.0 21.00 Lynn 238.0 115.0 0.348442 353.0 10.0 13.0 19.75 Sidney 6.0 6.0 0.000000 12.0 18.0 2.0 19.50 Taylor 673.0 298.0 0.386200 971.0 6.0 17.0 18.75 Emerson 6.0 5.0 0.090909 11.0 16.0 1.0 16.75 Remington 11.0 22.0 0.333333 33.0 12.5 5.0 16.25 the top 18 suggested highly gender nuetral names in WY are ['Kelly', 'Riley', 'Kerry', 'Leslie', 'Jordan', 'Lynn', 'Sidney', 'Taylor', 'Emerson', 'Remington', 'Peyton', 'Sawyer', 'River', 'Payton', 'Angel', 'Pat', 'Quinn', 'Dee'] OH Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Gale 941.0 950.0 0.004759 1891.0 144.0 130.0 241.50 Kerry 1909.0 1718.0 0.052661 3627.0 133.0 141.0 238.75 Kris 660.0 635.0 0.019305 1295.0 142.0 124.0 235.00 Marion 4041.0 3234.0 0.110928 7275.0 117.0 147.0 227.25 Quinn 1686.0 1336.0 0.115817 3022.0 116.0 138.0 219.50 Blair 537.0 455.0 0.082661 992.0 127.0 118.0 215.50 Armani 278.0 306.0 0.047945 584.0 135.0 106.0 214.50 Baby 224.0 244.0 0.042735 468.0 138.0 102.0 214.50 Gerry 387.0 456.0 0.081851 843.0 128.0 113.0 212.75 Ora 335.0 290.0 0.072000 625.0 131.0 108.0 212.00 the top 100 suggested highly gender nuetral names in OH are ['Gale', 'Kerry', 'Kris', 'Marion', 'Quinn', 'Blair', 'Armani', 'Baby', 'Gerry', 'Ora', 'Casey', 'Justice', 'Emery', 'Lennon', 'Carey', 'Skyler', 'Amari', 'Remy', 'Devyn', 'Lashawn', 'Emerson', 'Shea', 'Carsyn', 'Sidney', 'Ollie', 'Cris', 'Carrol', 'Lavon', 'Charley', 'Tory', 'Riley', 'Oakley', 'Peyton', 'Sage', 'Dominique', 'Finley', 'Phoenix', 'Rowan', 'Landry', 'Frankie', 'Kamari', 'Jackie', 'Jan', 'Tru', 'Codi', 'Linn', 'Dana', 'Elisha', 'Jaylin', 'Salem', 'Dusty', 'Noel', 'Taylen', 'Arion', 'Azariah', 'Parris', 'Ryley', 'Rian', 'Emari', 'Johann', 'Cashmere', 'Mykah', 'Baily', 'Tobie', 'Vashon', 'Darian', 'Harley', 'Palmer', 'Lennox', 'Reilly', 'River', 'Hollis', 'Torey', 'Teegan', 'Jodeci', 'Pat', 'Jessie', 'Jaidyn', 'Caidyn', 'Leslie', 'Ricki', 'Murphy', 'Devan', 'Kendall', 'Jaedyn', 'Avery', 'Kimani', 'Ali', 'Void', 'Carlin', 'Leighton', 'Tristyn', 'Reese', 'Arian', 'Stevie', 'Jordan', 'Remington', 'Camdyn', 'Charlie', 'Gracen'] OR Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Quinn 523.0 657.0 0.113559 1180.0 57.0 58.0 100.50 Riley 1294.0 1841.0 0.174482 3135.0 50.0 66.0 99.50 Jaime 616.0 474.0 0.130275 1090.0 56.0 55.0 97.25 Emerson 223.0 207.0 0.037209 430.0 65.0 42.0 96.50 Kasey 248.0 228.0 0.042017 476.0 63.0 43.0 95.25 Finley 276.0 245.0 0.059501 521.0 62.0 44.0 95.00 Kerry 453.0 688.0 0.205960 1141.0 48.0 56.0 90.00 Taylor 3596.0 2137.0 0.254492 5733.0 39.0 68.0 90.00 Skylar 431.0 316.0 0.153949 747.0 51.0 51.0 89.25 Carey 79.0 74.0 0.032680 153.0 66.0 30.0 88.50 the top 69 suggested highly gender nuetral names in OR are ['Quinn', 'Riley', 'Jaime', 'Emerson', 'Kasey', 'Finley', 'Kerry', 'Taylor', 'Skylar', 'Carey', 'Sage', 'Sidney', 'Justice', 'Lennon', 'Pat', 'Harley', 'Remy', 'Peyton', 'Campbell', 'Shea', 'Darian', 'Kyrie', 'Marion', 'Elisha', 'Kelly', 'Lynn', 'Blair', 'Payson', 'Val', 'Gale', 'Rowan', 'Charlie', 'Leslie', 'Payton', 'Avery', 'Tristyn', 'Lyric', 'Jessie', 'Frankie', 'Phoenix', 'Oakley', 'Morgan', 'Dusty', 'Nikita', 'Angel', 'Arrow', 'Amari', 'Jaiden', 'Dakota', 'Reese', 'Kris', 'Channing', 'London', 'Devyn', 'Kodi', 'River', 'Dominique', 'Reilly', 'Rene', 'Shay', 'Ocean', 'Sky', 'Briar', 'Ali', 'Jaydin', 'Emory', 'Bowie', 'Lennox', 'Arden'] NV Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Riley 815.0 612.0 0.142256 1427.0 35.0 43.0 67.250 Quinn 229.0 203.0 0.060185 432.0 38.0 34.0 63.500 Justice 124.0 132.0 0.031250 256.0 39.0 31.0 62.250 Charlie 122.0 165.0 0.149826 287.0 34.0 33.0 58.750 Jessie 186.0 278.0 0.198276 464.0 31.0 35.5 57.625 Emerson 71.0 52.0 0.154472 123.0 33.0 25.0 51.750 Elisha 11.0 11.0 0.000000 22.0 41.5 10.5 49.375 Austyn 11.0 11.0 0.000000 22.0 41.5 10.5 49.375 Skyler 198.0 386.0 0.321918 584.0 21.0 37.0 48.750 Harley 143.0 87.0 0.243478 230.0 26.0 30.0 48.500 the top 43 suggested highly gender nuetral names in NV are ['Riley', 'Quinn', 'Justice', 'Charlie', 'Jessie', 'Emerson', 'Elisha', 'Austyn', 'Skyler', 'Harley', 'Dakota', 'Devyn', 'Jaime', 'Dusty', 'River', 'Lennox', 'Baby', 'Peyton', 'Kerry', 'Milan', 'Pat', 'Jael', 'Ocean', 'Casey', 'Rowan', 'Remy', 'Avery', 'Lennon', 'Darian', 'Reese', 'Payton', 'Shiloh', 'Armani', 'Kasey', 'Phoenix', 'Jaylin', 'Reign', 'Amari', 'Frankie', 'Kalani', 'Blair', 'Jaeden', 'Marion'] TX Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Francis 3655.0 3683.0 0.003816 7338.0 311.0 305.0 539.75 Jackie 8233.0 7933.0 0.018557 16166.0 298.0 319.0 537.25 Skyler 2026.0 2064.0 0.009291 4090.0 308.0 292.0 527.00 Harley 2417.0 2273.0 0.030704 4690.0 294.0 295.0 515.25 Infant 3085.0 3349.0 0.041032 6434.0 290.0 300.0 515.00 Pat 2547.0 2744.0 0.037233 5291.0 291.0 297.0 513.75 Justice 1281.0 1237.0 0.017474 2518.0 302.0 282.0 513.50 Frankie 4247.0 3760.0 0.060822 8007.0 276.0 309.0 507.75 Emory 886.0 904.0 0.010056 1790.0 306.0 267.0 506.25 Tommie 4007.0 3526.0 0.063852 7533.0 275.0 307.0 505.25 the top 100 suggested highly gender nuetral names in TX are ['Francis', 'Jackie', 'Skyler', 'Harley', 'Infant', 'Pat', 'Justice', 'Frankie', 'Emory', 'Tommie', 'Armani', 'Riley', 'Johnnie', 'Jessie', 'Stevie', 'Nieves', 'Marion', 'Lynn', 'Ivory', 'Lennon', 'Claudie', 'Gentry', 'Kamdyn', 'Baby', 'Trinidad', 'Landry', 'Sutton', 'Devyn', 'Austyn', 'Quinn', 'Sammie', 'Reilly', 'Guadalupe', 'Jael', 'Rian', 'Peyton', 'Christan', 'Brighton', 'Amari', 'Dominque', 'Palmer', 'Loren', 'Casey', 'Elisha', 'Unnamed', 'Kylin', 'Ricki', 'Briar', 'Rowan', 'Krishna', 'Tristyn', 'Kylar', 'Oakley', 'Taylen', 'Karsen', 'Jaylin', 'Dominique', 'Emerson', 'Kamari', 'Laramie', 'Azariah', 'Ocean', 'Ryley', 'Natividad', 'Codie', 'Linden', 'Ridley', 'Salome', 'Campbell', 'Iran', 'Montana', 'Burnice', 'Oluwanifemi', 'Remy', 'Jules', 'Rebel', 'Channing', 'Jaidyn', 'Erie', 'Camdyn', 'Infantof', 'Phoenix', 'Shia', 'Jody', 'Jaedyn', 'Anay', 'Jaelin', 'Jodeci', 'Willie', 'Kiran', 'Sage', 'Lupe', 'Dakotah', 'Alva', 'Raleigh', 'Milan', 'Payton', 'Leighton', 'Kary', 'Daylin'] TN Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Jessie 5226.0 4860.0 0.036288 10086.0 118.0 128.0 214.00 Riley 2548.0 2406.0 0.028664 4954.0 120.0 120.0 210.00 Marion 2027.0 2026.0 0.000247 4053.0 124.0 114.0 209.50 Johnnie 2962.0 3480.0 0.080410 6442.0 108.0 121.0 198.75 Justice 420.0 427.0 0.008264 847.0 123.0 93.0 192.75 Lynn 1277.0 1566.0 0.101653 2843.0 101.0 111.0 184.25 Casey 1940.0 2456.0 0.117379 4396.0 95.0 118.0 183.50 Elisha 354.0 311.0 0.064662 665.0 111.0 88.0 177.00 Harley 913.0 1162.0 0.120000 2075.0 94.0 106.0 173.50 Ali 248.0 291.0 0.079777 539.0 109.0 81.0 169.75 the top 100 suggested highly gender nuetral names in TN are ['Jessie', 'Riley', 'Marion', 'Johnnie', 'Justice', 'Lynn', 'Casey', 'Elisha', 'Harley', 'Ali', 'Ivory', 'Palmer', 'Amari', 'Pat', 'Kirby', 'Emerson', 'Kristian', 'Peyton', 'Dorris', 'Avery', 'Francis', 'Tommie', 'Lennon', 'Quinn', 'Remy', 'Sherrill', 'Kendall', 'Rhea', 'Frankie', 'Codie', 'Payton', 'Emory', 'Kamari', 'Willie', 'Armani', 'Aubrey', 'Leslie', 'Ramsey', 'Andra', 'Jaedyn', 'Brighton', 'Montie', 'Mikah', 'Channing', 'Dee', 'Aubry', 'Rowan', 'Rebel', 'Mackie', 'Finley', 'Everest', 'Sutton', 'Devyn', 'Jackie', 'Dominique', 'Austyn', 'Gale', 'Landry', 'Skyler', 'Tracy', 'Jamie', 'Crimson', 'Ashton', 'Jammie', 'Carey', 'Taylor', 'Angel', 'Sammie', 'Campbell', 'Jaylin', 'Billie', 'Sage', 'Infant', 'Artis', 'Ardell', 'Camari', 'Earlie', 'Kodi', 'Charleston', 'Beryl', 'Jordan', 'Cortney', 'Phoenix', 'Claudie', 'Shannon', 'Reilly', 'Kendell', 'Raleigh', 'Ryley', 'Demetrice', 'Jaidyn', 'Marlo', 'Ollie', 'Demetris', 'Reese', 'Jody', 'Charley', 'Maxie', 'Skylar', 'Darian'] AZ Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Notnamed 642.0 721.0 0.057960 1363.0 74.0 69.0 125.75 Riley 2121.0 1612.0 0.136351 3733.0 67.0 78.0 125.50 Justice 268.0 279.0 0.020110 547.0 77.0 55.0 118.25 Quinn 668.0 530.0 0.115192 1198.0 69.0 65.0 117.75 Harley 474.0 358.0 0.139423 832.0 66.0 63.0 113.25 Jessie 1476.0 917.0 0.233598 2393.0 56.0 72.0 110.00 Charley 129.0 140.0 0.040892 269.0 76.0 43.0 108.25 Dakota 697.0 1187.0 0.260085 1884.0 51.0 70.0 103.50 Elisha 140.0 108.0 0.129032 248.0 68.0 42.0 99.50 Lennon 95.0 76.0 0.111111 171.0 70.5 37.0 98.25 the top 80 suggested highly gender nuetral names in AZ are ['Notnamed', 'Riley', 'Justice', 'Quinn', 'Harley', 'Jessie', 'Charley', 'Dakota', 'Elisha', 'Lennon', 'Pat', 'Trinidad', 'Rowan', 'Milan', 'Emerson', 'Kerry', 'Marion', 'Rian', 'Remy', 'Santana', 'Devyn', 'Oakley', 'Amari', 'Casey', 'Finley', 'Kamdyn', 'Sidney', 'Kodi', 'Everest', 'Sage', 'Palmer', 'Skylar', 'Jordan', 'Osiris', 'Peyton', 'Austyn', 'Rio', 'Terry', 'Kris', 'Scottie', 'Leighton', 'Avery', 'Jackie', 'Phoenix', 'Jaiden', 'Bellamy', 'Taylor', 'Jaime', 'Remington', 'Reign', 'Ryley', 'Dusty', 'Azariah', 'Kasey', 'Landry', 'Hayden', 'Jody', 'Lennox', 'Kyrie', 'Emery', 'Skyler', 'Emory', 'River', 'Dominique', 'Brighton', 'Aven', 'Devan', 'Britton', 'Jourdan', 'Mykel', 'Lyric', 'Camdyn', 'Reilly', 'Tommie', 'Haiden', 'Shay', 'Gale', 'Teegan', 'Sky', 'Kamari'] MN Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Leslie 2899.0 2792.0 0.018802 5691.0 83.0 84.0 146.00 Kerry 976.0 924.0 0.027368 1900.0 82.0 76.0 139.00 Angel 984.0 914.0 0.036881 1898.0 80.0 75.0 136.25 Quinn 1128.0 913.0 0.105341 2041.0 70.0 77.0 127.75 Peyton 1371.0 959.0 0.176824 2330.0 61.0 79.0 120.25 Justice 187.0 202.0 0.038560 389.0 79.0 54.0 119.50 Pat 772.0 571.0 0.149665 1343.0 64.0 71.0 117.25 Leighton 182.0 208.0 0.066667 390.0 75.0 55.0 116.25 Emery 323.0 263.0 0.102389 586.0 71.0 60.0 116.00 Finley 427.0 344.0 0.107652 771.0 68.0 64.0 116.00 the top 86 suggested highly gender nuetral names in MN are ['Leslie', 'Kerry', 'Angel', 'Quinn', 'Peyton', 'Justice', 'Pat', 'Leighton', 'Emery', 'Finley', 'Ali', 'Devyn', 'Emerson', 'Lennon', 'Gale', 'Shea', 'Laverne', 'Darby', 'Azariah', 'Jamie', 'Blair', 'Skyler', 'Amari', 'Riley', 'Luverne', 'Taylor', 'Elisha', 'Bellamy', 'Kao', 'Reilly', 'Darian', 'Casey', 'Reese', 'Seng', 'Jaydin', 'Jaiden', 'Rowan', 'Kris', 'Sutton', 'Tenzin', 'River', 'Sage', 'Sidney', 'Payton', 'Baby', 'Dakotah', 'Hartley', 'Salem', 'Dana', 'Marlo', 'Landry', 'Shay', 'Jaylin', 'Avery', 'Ramsey', 'Oakley', 'Jessy', 'Dakota', 'Ardell', 'Lennox', 'Carey', 'Hayden', 'Amen', 'Kasey', 'Briar', 'Phoenix', 'Teegan', 'Remy', 'Jayme', 'Dominique', 'Cedar', 'Camdyn', 'Marlowe', 'Carrol', 'Shiloh', 'Monroe', 'Ryley', 'Shoua', 'Emory', 'Carsyn', 'Reign', 'Chee', 'Austyn', 'Celestine', 'Sky', 'Rylin'] WA Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Jaime 1031.0 987.0 0.021804 2018.0 87.0 81.0 147.75 Quinn 985.0 1117.0 0.062797 2102.0 81.0 83.0 143.25 Kerry 993.0 881.0 0.059765 1874.0 83.0 79.0 142.25 Emerson 433.0 405.0 0.033413 838.0 85.0 66.0 134.50 Gale 253.0 256.0 0.005894 509.0 89.0 58.0 132.50 Blair 213.0 212.0 0.002353 425.0 90.0 56.0 132.00 Kris 455.0 397.0 0.068075 852.0 80.0 67.0 130.25 Pat 1121.0 854.0 0.135190 1975.0 69.0 80.0 129.00 Skylar 767.0 582.0 0.137139 1349.0 68.0 76.0 125.00 Sage 495.0 391.0 0.117381 886.0 72.0 69.0 123.75 the top 93 suggested highly gender nuetral names in WA are ['Jaime', 'Quinn', 'Kerry', 'Emerson', 'Gale', 'Blair', 'Kris', 'Pat', 'Skylar', 'Sage', 'Riley', 'Elisha', 'Shea', 'Finley', 'Sidney', 'Kasey', 'Sky', 'Carey', 'Justice', 'Taylor', 'Peyton', 'Amari', 'Frankie', 'Val', 'Reilly', 'Palmer', 'Arden', 'Lennon', 'Devyn', 'Rowan', 'Teegan', 'Dominique', 'Oakley', 'Rene', 'Payton', 'Trystin', 'Harley', 'Dakota', 'River', 'Kelly', 'Darian', 'Shay', 'Remy', 'Aven', 'Reese', 'Avery', 'Leslie', 'Angel', 'Charlie', 'Indiana', 'Infant', 'Ridley', 'Baby', 'Jessie', 'Ali', 'Unnamed', 'Rian', 'Camdyn', 'Murphy', 'Amen', 'Lennox', 'Eastyn', 'Kelby', 'Dana', 'Phoenix', 'Nikita', 'Ocean', 'Gerry', 'Noel', 'Austyn', 'Landry', 'Campbell', 'Lyric', 'Jaiden', 'Salem', 'Emery', 'Timber', 'Ricki', 'Finnley', 'Tai', 'Leighton', 'Haiden', 'Laverne', 'Yael', 'Codie', 'Linden', 'Nakia', 'Dusty', 'Briar', 'Jadin', 'Reign', 'Domonique', 'Haidyn'] WV Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Leslie 1701.0 1585.0 0.035301 3286.0 43.0 48.0 79.00 Marion 981.0 838.0 0.078615 1819.0 36.0 43.0 68.25 Peyton 601.0 514.0 0.078027 1115.0 37.0 38.0 65.50 Merle 166.0 174.0 0.023529 340.0 45.0 27.0 65.25 Casey 625.0 795.0 0.119718 1420.0 33.0 42.0 64.50 Jody 450.0 409.0 0.047730 859.0 39.0 34.0 64.50 Pat 226.0 209.0 0.039080 435.0 42.0 30.0 64.50 Finley 53.0 51.0 0.019231 104.0 46.0 21.0 61.75 Riley 675.0 500.0 0.148936 1175.0 29.0 40.0 59.00 Dana 962.0 1461.0 0.205943 2423.0 25.0 44.0 58.00 the top 49 suggested highly gender nuetral names in WV are ['Leslie', 'Marion', 'Peyton', 'Merle', 'Casey', 'Jody', 'Pat', 'Finley', 'Riley', 'Dana', 'Jessie', 'Carrol', 'Jaiden', 'Frankie', 'Kerry', 'Kris', 'Jamie', 'Paris', 'Skyler', 'Lennon', 'Theo', 'Murl', 'Rowan', 'Avery', 'Bobbie', 'Oakley', 'Darian', 'Justice', 'Jordan', 'Jaden', 'Tracy', 'Ashton', 'Sutton', 'Camdyn', 'Aubrey', 'Lynn', 'Dominique', 'Emerson', 'Lyric', 'Sheridan', 'Blair', 'Payton', 'Augustine', 'Kenna', 'Gale', 'Reese', 'Rowen', 'Sage', 'Jaylen'] NC Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Jackie 3774.0 3981.0 0.026692 7755.0 139.0 148.0 250.00 Frankie 1845.0 1936.0 0.024068 3781.0 140.0 136.0 242.00 Casey 2874.0 2598.0 0.050439 5472.0 134.0 142.0 240.50 Angel 3770.0 3300.0 0.066478 7070.0 130.0 147.0 240.25 Jessie 6950.0 5743.0 0.095092 12693.0 121.0 152.0 235.00 Marion 3382.0 2793.0 0.095385 6175.0 120.0 144.0 228.00 Dominique 991.0 1121.0 0.061553 2112.0 131.0 129.0 227.75 Skyler 970.0 858.0 0.061269 1828.0 132.0 127.0 227.25 Quinn 641.0 546.0 0.080034 1187.0 128.0 119.0 217.25 Harley 1048.0 1288.0 0.102740 2336.0 118.0 130.0 215.50 the top 100 suggested highly gender nuetral names in NC are ['Jackie', 'Frankie', 'Casey', 'Angel', 'Jessie', 'Marion', 'Dominique', 'Skyler', 'Quinn', 'Harley', 'Avery', 'Emory', 'Riley', 'Finley', 'Jamie', 'Landry', 'Devyn', 'Mckinley', 'Domonique', 'Justice', 'Maxie', 'Jaime', 'Austyn', 'Kris', 'Aven', 'Milan', 'Peyton', 'Ivey', 'Reilly', 'Jaidyn', 'Jonnie', 'Karsen', 'Rene', 'Emerson', 'Rossie', 'Dominque', 'Charley', 'Erie', 'Kendall', 'Robbie', 'Jalyn', 'Lennon', 'Elisha', 'Jammie', 'Rowan', 'Sandy', 'Delma', 'Stacy', 'Khali', 'Amari', 'Camdyn', 'Jordan', 'Kerry', 'Lynn', 'Sage', 'Ryley', 'Ocean', 'Nyjah', 'Dossie', 'Lavon', 'Teegan', 'Shamari', 'Bernell', 'Hiawatha', 'Phoenix', 'Honor', 'Lannie', 'Kristian', 'Ivory', 'Remy', 'Baylor', 'Tracy', 'Santana', 'Leslie', 'Oakley', 'Jaylyn', 'Campbell', 'Dwan', 'Antonia', 'Augustine', 'Kamdyn', 'Jael', 'Andra', 'Ashton', 'Lattie', 'Arrow', 'Zakaria', 'Kaydin', 'Aubrey', 'Lashawn', 'Francis', 'Sutton', 'Billie', 'Carlie', 'Ali', 'Hayden', 'Karon', 'Tru', 'Mika', 'Lennie'] MO Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Casey 1871.0 2102.0 0.058142 3973.0 105.0 107.0 185.25 Riley 2680.0 2303.0 0.075657 4983.0 102.0 110.0 184.50 Marion 2304.0 2686.0 0.076553 4990.0 101.0 111.0 184.25 Cleo 689.0 584.0 0.082482 1273.0 99.0 94.0 169.50 Kendall 1086.0 902.0 0.092555 1988.0 92.0 99.0 166.25 Kris 219.0 234.0 0.033113 453.0 109.0 74.0 164.50 Peyton 1945.0 1401.0 0.162582 3346.0 83.0 106.0 162.50 Kerry 959.0 1330.0 0.162080 2289.0 84.0 103.0 161.25 Dominique 649.0 501.0 0.128696 1150.0 88.0 92.0 157.00 Gale 418.0 546.0 0.132780 964.0 87.0 90.0 154.50 the top 100 suggested highly gender nuetral names in MO are ['Casey', 'Riley', 'Marion', 'Cleo', 'Kendall', 'Kris', 'Peyton', 'Kerry', 'Dominique', 'Gale', 'Leslie', 'Jackie', 'Frankie', 'Ali', 'Landry', 'Sutton', 'Quinn', 'Lennon', 'Remy', 'Amari', 'Tory', 'Justice', 'Elisha', 'Carey', 'Jody', 'Aven', 'Gentry', 'Oakley', 'Devyn', 'Bobbie', 'Sage', 'Rowan', 'Emerson', 'Jaiden', 'Jessie', 'Milan', 'Austyn', 'Lavern', 'Emery', 'Phoenix', 'Harley', 'Jaylin', 'Tru', 'Larue', 'Lakin', 'Kaedyn', 'Germaine', 'Lorin', 'Billie', 'Payton', 'Baby', 'Golden', 'Finley', 'Ricki', 'Skyler', 'Montana', 'Carrol', 'Ashton', 'Stevie', 'Merle', 'Jordan', 'Ryley', 'Lynn', 'Aries', 'Amori', 'Kymani', 'Blayke', 'Kodi', 'River', 'Andra', 'Gerry', 'Emory', 'Braylin', 'Palmer', 'Payson', 'Pat', 'Avery', 'Laken', 'Kamari', 'Darian', 'Mikah', 'Sidney', 'Raleigh', 'Garnett', 'Ollie', 'Armani', 'Santana', 'Ora', 'Reece', 'Lennox', 'Camdyn', 'Ashten', 'Briar', 'Bellamy', 'Monroe', 'Beryl', 'Leighton', 'Kristian', 'Jaydin', 'Talyn'] AL Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Jessie 7311.0 7423.0 0.007601 14734.0 115.0 121.0 205.75 Frankie 1640.0 1489.0 0.048258 3129.0 110.0 105.0 188.75 Peyton 1452.0 1342.0 0.039370 2794.0 112.0 101.0 187.75 Marion 2365.0 2719.0 0.069630 5084.0 105.0 110.0 187.50 Johnnie 5927.0 7416.0 0.111594 13343.0 95.0 120.0 185.00 Francis 1060.0 1173.0 0.050605 2233.0 108.0 99.0 182.25 Casey 1406.0 1668.0 0.085231 3074.0 102.0 104.0 180.00 Kendall 1147.0 1021.0 0.058118 2168.0 106.0 98.0 179.50 Jackie 2503.0 3231.0 0.126962 5734.0 93.0 112.0 177.00 Aubrey 1734.0 2138.0 0.104339 3872.0 96.0 108.0 177.00 the top 100 suggested highly gender nuetral names in AL are ['Jessie', 'Frankie', 'Peyton', 'Marion', 'Johnnie', 'Francis', 'Casey', 'Kendall', 'Jackie', 'Aubrey', 'Riley', 'Mckinley', 'Kendal', 'Odell', 'Justice', 'Amari', 'Dannie', 'Quinn', 'Dominique', 'Harley', 'Leslie', 'Pat', 'Kristian', 'Sutton', 'Montez', 'Jamie', 'Emory', 'Osie', 'Oakley', 'Devyn', 'Taylor', 'Antonia', 'Avery', 'Emerson', 'Dee', 'Kris', 'Cleo', 'Phoenix', 'Skyler', 'Jordan', 'Claudie', 'Lynn', 'Ollie', 'Reese', 'Odie', 'Ozzie', 'Rowan', 'Greer', 'Chesley', 'Verner', 'Zyan', 'Tommie', 'Ocie', 'Payton', 'Jaidyn', 'Campbell', 'Ali', 'Maxie', 'Kamari', 'Raleigh', 'August', 'Andra', 'Cortney', 'Billie', 'Ari', 'Shannon', 'Noa', 'Ryley', 'Haiden', 'Milan', 'Ashton', 'Sandy', 'Kadyn', 'Willie', 'Sage', 'Jonnie', 'Jimmie', 'Austyn', 'Lennox', 'Jammie', 'Tracy', 'Alva', 'Hayden', 'Jaedyn', 'Zion', 'Finley', 'Skylar', 'Ivory', 'Landry', 'Carmon', 'Lennon', 'Armani', 'Elisha', 'Kaidyn', 'Crimson', 'Kamdyn', 'Kenyatta', 'Earlie', 'Demetrice', 'Auburn'] VA Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Jessie 3059.0 3028.0 0.005093 6087.0 109.0 111.0 192.25 Dominique 1164.0 1131.0 0.014379 2295.0 106.0 100.0 181.00 Emerson 660.0 659.0 0.000758 1319.0 110.0 94.0 180.50 Kerry 730.0 711.0 0.013185 1441.0 107.0 96.0 179.00 Aubrey 2341.0 2665.0 0.064722 5006.0 95.0 109.0 176.75 Skyler 713.0 665.0 0.034833 1378.0 99.0 95.0 170.25 Jody 591.0 551.0 0.035026 1142.0 98.0 90.0 165.50 Jackie 1858.0 2414.0 0.130150 4272.0 80.0 104.0 158.00 Baby 395.0 462.0 0.078180 857.0 93.0 86.0 157.50 Quinn 708.0 589.0 0.091750 1297.0 86.0 93.0 155.75 the top 100 suggested highly gender nuetral names in VA are ['Jessie', 'Dominique', 'Emerson', 'Kerry', 'Aubrey', 'Skyler', 'Jody', 'Jackie', 'Baby', 'Quinn', 'Casey', 'Peyton', 'Angel', 'Justice', 'Harley', 'Riley', 'Carey', 'Page', 'Dominque', 'Kris', 'Santana', 'Finley', 'Ivory', 'Aven', 'Jordan', 'Leslie', 'Alva', 'Camdyn', 'Ryley', 'Amari', 'Rowan', 'Kadyn', 'Andra', 'Karon', 'Ja', 'Jamie', 'Avery', 'Lacy', 'Rene', 'Mckinley', 'Jaidyn', 'Samari', 'Adler', 'Gracen', 'Britt', 'Golden', 'Schuyler', 'Charley', 'Reilly', 'Kendall', 'Frankie', 'Odell', 'Elisha', 'Devyn', 'Amen', 'Lennon', 'Ollie', 'River', 'Phoenix', 'Merritt', 'Marion', 'Carrington', 'Briar', 'Campbell', 'Jaime', 'Burnell', 'Claudie', 'Sherron', 'Jaylin', 'Lynn', 'Terry', 'Kenyatta', 'Bobbie', 'Rory', 'Azariah', 'Kiran', 'Dwan', 'Sutton', 'Sage', 'Blair', 'Cameran', 'Lindy', 'Murphy', 'Loren', 'Emery', 'Pat', 'Milan', 'De', 'Berkley', 'Cary', 'Kamani', 'Merle', 'Noel', 'Remy', 'Temple', 'Alexi', 'Kamari', 'Robbie', 'Domonique', 'Leighton'] CA Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Jessie 7993.0 7805.0 0.011900 15798.0 326.0 335.0 577.250 Quinn 3124.0 3267.0 0.022375 6391.0 318.0 325.0 561.750 Blair 1149.0 1188.0 0.016688 2337.0 323.0 308.0 554.000 Kris 1536.0 1690.0 0.047737 3226.0 304.0 315.5 540.625 Reilly 396.0 392.0 0.005076 788.0 329.0 268.0 530.000 Akira 516.0 538.0 0.020873 1054.0 320.0 277.0 527.750 Carey 1104.0 969.0 0.065123 2073.0 298.0 302.0 524.500 Riley 10300.0 8201.0 0.113453 18501.0 264.0 337.0 516.750 Justice 1160.0 1407.0 0.096221 2567.0 275.0 311.0 508.250 Emerson 1491.0 1841.0 0.105042 3332.0 269.0 317.0 506.750 the top 100 suggested highly gender nuetral names in CA are ['Jessie', 'Quinn', 'Blair', 'Kris', 'Reilly', 'Akira', 'Carey', 'Riley', 'Justice', 'Emerson', 'Britt', 'Osiris', 'Shea', 'Amari', 'Anay', 'Azariah', 'Milan', 'Sky', 'Salem', 'Leighton', 'Charley', 'Shay', 'Campbell', 'Ryley', 'Arin', 'Devyn', 'Harpreet', 'Jael', 'Harley', 'Ocean', 'Krishna', 'Baby', 'Dakota', 'Kerry', 'Allyn', 'Karan', 'Torey', 'Torrey', 'Elisha', 'Sage', 'Iran', 'Remy', 'Finley', 'Kiran', 'Indiana', 'Sidney', 'Seneca', 'Isa', 'Aries', 'Channing', 'Hoa', 'Chee', 'Samar', 'Tory', 'Jazz', 'Yee', 'An', 'Jaylin', 'Austyn', 'Trinidad', 'Kylin', 'Amandeep', 'Dusty', 'Ricci', 'Kaidyn', 'Rooney', 'Ying', 'Rio', 'Kodi', 'Phoenix', 'Emory', 'Mandeep', 'Neftaly', 'Sunny', 'Sutton', 'Shiva', 'Kendell', 'Codie', 'Amrit', 'Yael', 'Dakotah', 'Rowan', 'Casey', 'Skyler', 'Kimani', 'Shia', 'Arden', 'Bowie', 'Jessi', 'Kyrie', 'Carlin', 'Jourdan', 'Kalin', 'Yareth', 'Joell', 'Lyrik', 'De', 'Tam', 'Charleston', 'Arshia'] CT Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Terry 829.0 1015.0 0.100868 1844.0 29.0 33.0 53.75 Dakota 268.0 285.0 0.030741 553.0 33.0 23.0 50.25 Casey 1052.0 736.0 0.176734 1788.0 25.0 32.0 49.00 Pat 140.0 125.0 0.056604 265.0 32.0 19.0 46.25 Quinn 349.0 485.0 0.163070 834.0 26.0 26.0 45.50 Milan 42.0 40.0 0.024390 82.0 34.0 10.0 41.50 Kris 88.0 108.0 0.102041 196.0 28.0 17.0 40.75 Skyler 201.0 129.0 0.218182 330.0 23.0 21.0 38.75 Riley 1340.0 636.0 0.356275 1976.0 13.0 34.0 38.50 Ryley 5.0 5.0 0.000000 10.0 36.0 2.0 37.50 the top 37 suggested highly gender nuetral names in CT are ['Terry', 'Dakota', 'Casey', 'Pat', 'Quinn', 'Milan', 'Kris', 'Skyler', 'Riley', 'Ryley', 'Lane', 'Reign', 'Lee', 'Jaime', 'Dale', 'Rowan', 'Carmen', 'Jaidyn', 'Jael', 'Jan', 'Nicola', 'Baby', 'Armani', 'Dana', 'Phoenix', 'Jamie', 'River', 'Loren', 'Emerson', 'Hayden', 'Devon', 'Jaylin', 'Peyton', 'Amari', 'Blair', 'Finley', 'Lexus'] AK Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Riley 281.0 372.0 0.139357 653.0 15.0 18.0 28.500 Finley 26.0 26.0 0.000000 52.0 19.0 10.0 26.500 Taylor 697.0 382.0 0.291937 1079.0 11.0 19.0 25.250 Darian 12.0 11.0 0.043478 23.0 17.0 7.0 22.250 Rory 13.0 11.0 0.083333 24.0 16.0 8.0 22.000 Sage 74.0 42.0 0.275862 116.0 12.0 12.0 21.000 Carlie 5.0 5.0 0.000000 10.0 19.0 1.5 20.125 Elisha 5.0 5.0 0.000000 10.0 19.0 1.5 20.125 Harley 17.0 26.0 0.209302 43.0 13.0 9.0 19.750 Quinn 54.0 99.0 0.294118 153.0 9.5 13.0 19.250 the top 20 suggested highly gender nuetral names in AK are ['Riley', 'Finley', 'Taylor', 'Darian', 'Rory', 'Sage', 'Carlie', 'Elisha', 'Harley', 'Quinn', 'Avery', 'Jordan', 'Emerson', 'River', 'Casey', 'Peyton', 'Remington', 'Dakota', 'Phoenix', 'Reese'] ND Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Kelly 1276.0 1110.0 0.069573 2386.0 28.0 31.0 51.25 Kerry 177.0 205.0 0.073298 382.0 27.0 22.0 43.50 Jamie 803.0 557.0 0.180882 1360.0 22.0 27.0 42.25 Dana 406.0 315.0 0.126214 721.0 24.0 24.0 42.00 Lynn 573.0 902.0 0.223051 1475.0 20.0 28.0 41.00 Peyton 273.0 192.0 0.174194 465.0 23.0 23.0 40.25 Pat 120.0 96.0 0.111111 216.0 26.0 19.0 40.25 Taylor 1130.0 589.0 0.314718 1719.0 13.0 30.0 35.50 Oakley 25.0 24.0 0.020408 49.0 29.0 8.0 35.00 Emerson 36.0 28.0 0.125000 64.0 25.0 10.0 32.50 the top 31 suggested highly gender nuetral names in ND are ['Kelly', 'Kerry', 'Jamie', 'Dana', 'Lynn', 'Peyton', 'Pat', 'Taylor', 'Oakley', 'Emerson', 'Rene', 'Lennox', 'Kim', 'Payton', 'Kris', 'Reese', 'Leslie', 'Kasey', 'Charlie', 'Jayme', 'Riley', 'Rowan', 'Finley', 'Quinn', 'Dakota', 'Sage', 'Kendall', 'Remington', 'Darian', 'Blair', 'Sutton'] VT Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Leslie 304.0 292.0 0.020134 596.0 13.0 10.0 20.50 Riley 221.0 289.0 0.133333 510.0 11.0 9.0 17.75 Jamie 433.0 288.0 0.201110 721.0 8.0 12.0 17.00 Casey 196.0 277.0 0.171247 473.0 9.0 8.0 15.00 Skylar 29.0 21.0 0.160000 50.0 10.0 4.0 13.00 Emerson 18.0 16.0 0.058824 34.0 12.0 1.0 12.75 Avery 199.0 132.0 0.202417 331.0 7.0 7.0 12.25 Terry 215.0 447.0 0.350453 662.0 3.0 11.0 11.25 Taylor 645.0 293.0 0.375267 938.0 1.0 13.0 10.75 Quinn 69.0 113.0 0.241758 182.0 6.0 5.0 9.75 the top 13 suggested highly gender nuetral names in VT are ['Leslie', 'Riley', 'Jamie', 'Casey', 'Skylar', 'Emerson', 'Avery', 'Terry', 'Taylor', 'Quinn', 'Harley', 'Jody', 'Finley'] MI Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Clare 1055.0 1054.0 0.000474 2109.0 117.0 108.0 198.00 Laverne 942.0 950.0 0.004228 1892.0 116.0 105.0 194.75 Gale 960.0 902.0 0.031149 1862.0 112.0 104.0 190.00 Emerson 820.0 859.0 0.023228 1679.0 114.0 100.0 189.00 Kerry 2075.0 1789.0 0.074017 3864.0 101.0 114.0 186.50 Kris 904.0 802.0 0.059789 1706.0 105.0 102.0 181.50 Skyler 868.0 1040.0 0.090147 1908.0 96.0 106.0 175.50 Riley 4150.0 2790.0 0.195965 6940.0 82.0 121.0 172.75 Emery 558.0 659.0 0.082991 1217.0 99.0 96.0 171.00 Quinn 1374.0 1082.0 0.118893 2456.0 89.0 109.0 170.75 the top 100 suggested highly gender nuetral names in MI are ['Clare', 'Laverne', 'Gale', 'Emerson', 'Kerry', 'Kris', 'Skyler', 'Riley', 'Emery', 'Quinn', 'Casey', 'Finley', 'Baby', 'Devyn', 'Amari', 'Leslie', 'Carey', 'Justice', 'Lennon', 'Armani', 'Santana', 'Jaedyn', 'Dusty', 'Rian', 'Jessie', 'Rowan', 'Val', 'Phoenix', 'Blair', 'Oakley', 'Stevie', 'Ryley', 'Larkin', 'Elisha', 'Milan', 'Ashten', 'Kenyatta', 'Aris', 'Peyton', 'Avery', 'Tylar', 'Ricki', 'Arion', 'Aven', 'Tru', 'Ollie', 'Hartley', 'Shomari', 'River', 'Frankie', 'Pat', 'Kai', 'Dominique', 'Noel', 'Harley', 'Kendall', 'Codi', 'Mikah', 'Sage', 'Linden', 'Shea', 'Reese', 'Carsyn', 'Dakota', 'Lennox', 'Karon', 'Reilly', 'Lavon', 'Remy', 'Palmer', 'Marlow', 'Jule', 'Jaidyn', 'Rene', 'Monroe', 'Angel', 'Parris', 'Arie', 'Briar', 'Sidney', 'Tramaine', 'Jaiden', 'Micaiah', 'Lorin', 'Allyn', 'Azariah', 'Paris', 'Gerry', 'Denver', 'Tai', 'Guadalupe', 'Zion', 'Darian', 'Robbie', 'Dominque', 'Leighton', 'Devan', 'Baily', 'Finnley', 'Aries'] NE Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Leslie 1425.0 1406.0 0.006711 2831.0 53.0 51.0 91.25 Lynn 1288.0 1128.0 0.066225 2416.0 49.0 50.0 86.50 Laverne 404.0 416.0 0.014634 820.0 52.0 41.0 82.75 Marion 808.0 693.0 0.076616 1501.0 47.0 47.0 82.25 Peyton 505.0 421.0 0.090713 926.0 46.0 44.0 79.00 Kerry 482.0 351.0 0.157263 833.0 39.0 42.0 70.50 Riley 702.0 1088.0 0.215642 1790.0 33.0 49.0 69.75 Sidney 223.0 305.0 0.155303 528.0 40.0 34.0 65.50 Fay 68.0 74.0 0.042254 142.0 51.0 19.0 65.25 Rowan 116.0 150.0 0.127820 266.0 42.0 29.0 63.75 the top 53 suggested highly gender nuetral names in NE are ['Leslie', 'Lynn', 'Laverne', 'Marion', 'Peyton', 'Kerry', 'Riley', 'Sidney', 'Fay', 'Rowan', 'Dana', 'Angel', 'Skyler', 'Shea', 'Oakley', 'Marlyn', 'Taylor', 'Jaiden', 'Justice', 'Charley', 'Baylor', 'Jordan', 'Quinn', 'Pat', 'Sutton', 'Brook', 'Finnley', 'Lennox', 'Payton', 'Ali', 'Phoenix', 'Charlie', 'Kasey', 'Dakota', 'Kendall', 'Gayle', 'Sage', 'Billie', 'Emerson', 'Amari', 'Harley', 'Dominique', 'Baby', 'Tegan', 'Ora', 'Sawyer', 'Austyn', 'Leighton', 'River', 'Finley', 'Kris', 'Remy', 'Briar'] KY Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Casey 1675.0 1842.0 0.047484 3517.0 98.0 96.0 170.00 Jessie 3690.0 3144.0 0.079895 6834.0 92.0 99.0 166.25 Peyton 1595.0 1373.0 0.074798 2968.0 94.0 92.0 163.00 Robbie 607.0 657.0 0.039557 1264.0 99.0 82.0 160.50 Leslie 4543.0 3382.0 0.146498 7925.0 79.0 103.0 156.25 Riley 1742.0 1366.0 0.120978 3108.0 84.0 94.0 154.50 Justice 305.0 287.0 0.030405 592.0 100.0 70.0 152.50 Mckinley 245.0 219.0 0.056034 464.0 97.0 65.0 145.75 Emery 343.0 426.0 0.107932 769.0 87.0 74.0 142.50 Harley 636.0 851.0 0.144586 1487.0 80.0 83.0 142.25 the top 100 suggested highly gender nuetral names in KY are ['Casey', 'Jessie', 'Peyton', 'Robbie', 'Leslie', 'Riley', 'Justice', 'Mckinley', 'Emery', 'Harley', 'Elisha', 'Frankie', 'Carey', 'Amari', 'Skyler', 'Loren', 'Dominique', 'Pat', 'Kristian', 'Emerson', 'Avery', 'Sherrill', 'Jody', 'Vola', 'Kendall', 'Alva', 'Finley', 'Landry', 'Ollie', 'Emory', 'Gentry', 'Dorris', 'Sage', 'Jamie', 'Darian', 'Garnett', 'Paris', 'Francis', 'Tegan', 'Jaylan', 'Mikah', 'Gayle', 'Ashton', 'Baby', 'Holland', 'Devyn', 'Kris', 'Quinn', 'Remy', 'Lynn', 'Haiden', 'Kamari', 'Jaiden', 'Billie', 'Rudell', 'Ali', 'Taylor', 'Dorsie', 'Lacy', 'Jackie', 'Lennon', 'Marion', 'Kelly', 'Phoenix', 'Payton', 'Lennox', 'Dee', 'Jaedyn', 'Armani', 'Rowan', 'Dusty', 'Tommie', 'Sidney', 'Royal', 'Aubrey', 'Raylen', 'Remington', 'Carmon', 'Salem', 'Jaden', 'Gale', 'River', 'Sutton', 'Jammie', 'Reese', 'Jaylin', 'Rory', 'Merle', 'Ova', 'Estell', 'Tatum', 'Kaidyn', 'Elvie', 'Montie', 'Gerry', 'Lindy', 'Austyn', 'Darrian', 'Augustine', 'Kelby'] ID Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Kelly 1358.0 1440.0 0.029307 2798.0 42.0 43.0 74.250 Jaime 199.0 191.0 0.020513 390.0 44.0 30.0 66.500 Peyton 374.0 337.0 0.052039 711.0 40.0 33.0 64.750 Quinn 186.0 168.0 0.050847 354.0 41.0 29.0 62.750 Marion 232.0 278.0 0.090196 510.0 38.0 32.0 62.000 Kim 715.0 553.0 0.127760 1268.0 34.0 37.0 61.750 Taylor 1742.0 1125.0 0.215208 2867.0 23.0 44.0 56.000 Skylar 134.0 164.0 0.100671 298.0 35.0 26.5 54.875 Payton 426.0 297.0 0.178423 723.0 26.0 34.0 51.500 Riley 571.0 939.0 0.243709 1510.0 21.0 40.0 51.000 the top 45 suggested highly gender nuetral names in ID are ['Kelly', 'Jaime', 'Peyton', 'Quinn', 'Marion', 'Kim', 'Taylor', 'Skylar', 'Payton', 'Riley', 'Finnley', 'Harley', 'Austyn', 'Charlie', 'Leslie', 'Kasey', 'Teagan', 'Kris', 'Kacey', 'Emerson', 'Sidney', 'Remington', 'Tracy', 'Sutton', 'Brighton', 'Justice', 'River', 'Dee', 'Morgan', 'Jordan', 'Dakota', 'Lynn', 'Pat', 'Rowan', 'Merle', 'Remy', 'Jaiden', 'Angel', 'Laverne', 'Tatum', 'Phoenix', 'Finley', 'Rene', 'Ali', 'Bentlee'] DC Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Kerry 178.0 148.0 0.092025 326.0 30.0 26.0 49.50 Casey 119.0 104.0 0.067265 223.0 32.0 23.0 49.25 Avery 222.0 162.0 0.156250 384.0 27.0 28.0 48.00 Terry 745.0 1276.0 0.262741 2021.0 20.0 34.0 45.50 Quinn 95.0 124.0 0.132420 219.0 28.0 22.0 44.50 Kendall 171.0 121.0 0.171233 292.0 25.0 24.0 43.00 Angel 718.0 388.0 0.298373 1106.0 17.0 32.0 41.00 Baby 32.0 41.0 0.123288 73.0 29.0 16.0 41.00 Loren 12.0 11.0 0.043478 23.0 33.0 9.0 39.75 Aubrey 119.0 82.0 0.184080 201.0 24.0 21.0 39.75 the top 34 suggested highly gender nuetral names in DC are ['Kerry', 'Casey', 'Avery', 'Terry', 'Quinn', 'Kendall', 'Angel', 'Baby', 'Loren', 'Aubrey', 'Amari', 'Jordan', 'Dominique', 'Emerson', 'Emilie', 'Logan', 'Chantelle', 'Carey', 'Jaime', 'Jaleesa', 'Dallas', 'Dale', 'Jaylin', 'Dominque', 'Ariel', 'Parker', 'Amen', 'Domonique', 'Blair', 'Justice', 'Alissa', 'Toby', 'Janee', 'Deshawn'] IA Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Marion 1447.0 1550.0 0.034368 2997.0 64.0 66.0 113.50 Leslie 2069.0 2240.0 0.039684 4309.0 62.0 68.0 113.00 Angel 713.0 654.0 0.043160 1367.0 61.0 58.0 104.50 Riley 1245.0 1433.0 0.070202 2678.0 55.0 65.0 103.75 Kerry 643.0 769.0 0.089235 1412.0 51.0 59.0 95.25 Kendall 435.0 511.0 0.080338 946.0 54.0 55.0 95.25 Blair 140.0 134.0 0.021898 274.0 65.0 38.0 93.50 Lynn 3086.0 2056.0 0.200311 5142.0 40.0 69.0 91.75 Beryl 119.0 128.0 0.036437 247.0 63.0 37.0 90.75 Quinn 574.0 446.0 0.125490 1020.0 47.0 56.0 89.00 the top 72 suggested highly gender nuetral names in IA are ['Marion', 'Leslie', 'Angel', 'Riley', 'Kerry', 'Kendall', 'Blair', 'Lynn', 'Beryl', 'Quinn', 'Briar', 'Sage', 'Peyton', 'Fay', 'Codi', 'Skylar', 'Justice', 'Jaiden', 'Rowan', 'Frankie', 'Darian', 'Ollie', 'Kodi', 'Pat', 'Marlo', 'Breckyn', 'Cris', 'Jamie', 'Charley', 'Payton', 'Kasey', 'Oakley', 'Jackie', 'Devyn', 'Sidney', 'Baby', 'Unkown', 'Landry', 'Shay', 'Cleo', 'Kris', 'Hayden', 'Shea', 'Dana', 'Taylor', 'Lennon', 'Jordan', 'Emery', 'Lennox', 'Emerson', 'Ardell', 'Amari', 'Billie', 'Baylor', 'Reese', 'Charlie', 'Jaden', 'Austyn', 'Carey', 'Dominique', 'Delaine', 'Leighton', 'Jammie', 'Emory', 'Finley', 'Teagan', 'Ora', 'Britt', 'Eastyn', 'Vernie', 'Palmer', 'Ryley'] FL Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Jessie 3533.0 3854.0 0.043455 7387.0 151.0 163.0 273.25 Casey 3618.0 4139.0 0.067165 7757.0 143.0 164.0 266.00 Harley 976.0 938.0 0.019854 1914.0 156.0 144.0 264.00 Jaime 1703.0 1901.0 0.054939 3604.0 146.0 152.0 260.00 Quinn 966.0 902.0 0.034261 1868.0 153.0 142.0 259.50 Skyler 1549.0 1742.0 0.058645 3291.0 145.0 151.0 258.25 Armani 789.0 851.0 0.037805 1640.0 152.0 140.0 257.00 Justice 921.0 833.0 0.050171 1754.0 147.0 141.0 252.75 Kerry 1129.0 1314.0 0.075727 2443.0 140.0 148.0 251.00 Elisha 659.0 600.0 0.046863 1259.0 149.0 135.0 250.25 the top 100 suggested highly gender nuetral names in FL are ['Jessie', 'Casey', 'Harley', 'Jaime', 'Quinn', 'Skyler', 'Armani', 'Justice', 'Kerry', 'Elisha', 'Ivory', 'Baby', 'Jody', 'Marion', 'Loren', 'Riley', 'Jackie', 'Reilly', 'Ocean', 'Jaylin', 'Emerson', 'Jaidyn', 'Charley', 'Yael', 'Devyn', 'Milan', 'Kimani', 'Storm', 'Amari', 'Frankie', 'Stevie', 'Jael', 'Jaedyn', 'Robbie', 'Infant', 'Ryley', 'Lennon', 'Rowan', 'Camdyn', 'Peyton', 'Isa', 'Yuri', 'Alva', 'Pat', 'Artie', 'Blair', 'Royal', 'Leighton', 'Shia', 'Carey', 'Finley', 'Dakotah', 'Shiloh', 'Dakota', 'Andra', 'Santana', 'Jan', 'Merritt', 'Erie', 'Talyn', 'Avery', 'Phoenix', 'Arin', 'Angel', 'Sage', 'Shade', 'Graycen', 'Mel', 'Alix', 'Tristyn', 'Jean', 'Shea', 'Jules', 'Shamari', 'Briar', 'Sutton', 'Emery', 'Jammie', 'Emari', 'Caron', 'Eliyah', 'Oakley', 'Demetrice', 'Jourdan', 'River', 'Charleston', 'Reese', 'Braylin', 'Campbell', 'Karon', 'Johnnie', 'Salem', 'Anay', 'Omega', 'Channing', 'Ariel', 'Kaidyn', 'Palmer', 'Charly', 'Jordin'] PA Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Carmen 3472.0 3792.0 0.044053 7264.0 117.0 124.0 210.00 Angel 3437.0 4066.0 0.083833 7503.0 109.0 126.0 203.50 Baby 1238.0 1330.0 0.035826 2568.0 118.0 114.0 203.50 Quinn 1849.0 1650.0 0.056873 3499.0 114.0 117.0 201.75 Kris 548.0 587.0 0.034361 1135.0 119.0 101.0 194.75 Gerry 373.0 386.0 0.017128 759.0 121.0 94.0 191.50 Casey 4152.0 3286.0 0.116429 7438.0 97.0 125.0 190.75 Kerry 2302.0 2884.0 0.112225 5186.0 99.0 121.0 189.75 Jan 2137.0 1711.0 0.110707 3848.0 101.0 118.0 189.50 Carey 529.0 472.0 0.056943 1001.0 113.0 98.0 186.50 the top 100 suggested highly gender nuetral names in PA are ['Carmen', 'Angel', 'Baby', 'Quinn', 'Kris', 'Gerry', 'Casey', 'Kerry', 'Jan', 'Carey', 'Milan', 'Harley', 'Justice', 'Jaylin', 'Armani', 'Skyler', 'Noel', 'Ryley', 'Remy', 'Lennon', 'Finley', 'Rowan', 'Jaidyn', 'Tory', 'Reilly', 'Devan', 'Phoenix', 'Ardell', 'Devon', 'Pat', 'Jaedyn', 'Riley', 'Linden', 'Emerson', 'Arden', 'Oakley', 'Reese', 'Amari', 'Ali', 'Shea', 'Kamari', 'Elisha', 'Ashten', 'Khamani', 'Arlie', 'Dereon', 'Reiley', 'Hartley', 'Braylin', 'Lorin', 'Patsy', 'Verne', 'Avery', 'Honor', 'Lakota', 'Leslie', 'Teegan', 'Lennox', 'Seneca', 'Barrie', 'Rian', 'Emery', 'Charlie', 'Lyrik', 'Sheridan', 'Azariah', 'Sage', 'Paris', 'Shay', 'Devyn', 'Alva', 'Cris', 'Allyn', 'Peyton', 'Kendell', 'Johann', 'Dakota', 'Loren', 'Jacque', 'Tai', 'Jordan', 'Stevie', 'Briar', 'Shai', 'Divine', 'Storm', 'Royal', 'Jourdan', 'Leighton', 'Myrl', 'Santana', 'Jackie', 'Salem', 'Dusty', 'Jael', 'Tristyn', 'Yuri', 'Jensen', 'River', 'Darian'] RI Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Quinn 106.0 98.0 0.039216 204.0 15.0 10.0 22.500 Lee 221.0 349.0 0.224561 570.0 10.0 14.0 20.500 Terry 186.0 145.0 0.123867 331.0 12.0 11.0 20.250 Dale 187.0 247.0 0.138249 434.0 11.0 12.0 20.000 Dana 417.0 251.0 0.248503 668.0 7.0 16.0 19.000 Dakota 50.0 40.0 0.111111 90.0 13.0 7.0 18.250 Lennox 5.0 5.0 0.000000 10.0 16.5 1.5 17.625 Kris 5.0 5.0 0.000000 10.0 16.5 1.5 17.625 Riley 394.0 209.0 0.306799 603.0 6.0 15.0 17.250 Jamie 798.0 356.0 0.383016 1154.0 4.0 17.0 16.750 the top 17 suggested highly gender nuetral names in RI are ['Quinn', 'Lee', 'Terry', 'Dale', 'Dana', 'Dakota', 'Lennox', 'Kris', 'Riley', 'Jamie', 'Loren', 'Casey', 'Rowan', 'Finley', 'Hayden', 'Emerson', 'Justice'] DE Sex F M percent_dff Total_num percent_diff_rank Total_num_rank score Name Terry 307.0 383.0 0.110145 690.0 17.0 18.0 30.500 Angel 229.0 334.0 0.186501 563.0 16.0 17.0 28.750 Dakota 94.0 105.0 0.055276 199.0 19.0 12.0 28.000 Rowan 33.0 52.0 0.223529 85.0 15.0 10.0 22.500 Avery 306.0 153.0 0.333333 459.0 10.5 15.0 21.750 Devon 122.0 223.0 0.292754 345.0 12.0 13.0 21.750 Jessie 6.0 5.0 0.090909 11.0 18.0 1.0 18.750 Jordan 441.0 1169.0 0.452174 1610.0 3.0 19.0 17.250 River 10.0 6.0 0.250000 16.0 13.5 4.5 16.875 Armani 10.0 6.0 0.250000 16.0 13.5 4.5 16.875 the top 19 suggested highly gender nuetral names in DE are ['Terry', 'Angel', 'Dakota', 'Rowan', 'Avery', 'Devon', 'Jessie', 'Jordan', 'River', 'Armani', 'Casey', 'Quinn', 'Riley', 'Finley', 'Pat', 'Justice', 'Phoenix', 'Nakia', 'Skyler']
Question 3: Trendsetter State (Two Approach Verification Method)¶
Approach 1: State Based¶
a. Time series plot of the number of unique names each state has
b. Histogram of volumn of names that the state was the first one to adopt
Appraoch 2: Name Based¶
a. Find out top 500 popular names based on occurrences
b. Bar chart of percentage of occurrences over each state's total occurences
for explaination on why I chose 500, please see below*¶
Rationale¶
In order to find out the trendsetter states, we need to understand two elements; first who is the first to use a name, second what is the total usage of names over time. A trend is also indicating that the names must be popular, therefore, we want to verify further through filtering down to the specific popular names and find out the states with the most usage of these names¶
Limitation¶
a. the volumn over time does not reflect the "setting" aspect since the states could simply have larger population and used more names than others.¶
b. The second approach on popular name can only tell if there are states that tend to use more of the popular name. These states can be follower than setter.¶
c. Potential Implementation: In order to accurately identify the trendsetter states, we can first look at the specific year at which a name became popular nationwide. we can then plot the percentage of new babies with the name across all states prior to that year; if we see a state with higher ratio, meaning that the name was popular in that state even before it rise to prominance in the whole country, we would be more confident to say that that state is the trendsetter for that particular name¶
In [10]:
### Approach 1 a.time series plot of the number of unique names each state has
def name_volumn_visualize (df):
new_df = df.groupby(['Year_of_birth','State']).agg({'Name': 'count'})
new_df ['year']= new_df.index.get_level_values('Year_of_birth')
new_df ['volumn']= new_df['Name']
new_df ['state'] = new_df.index.get_level_values('State')
new_df = new_df.droplevel(['Year_of_birth'])
fig = px.line(new_df,x='year',y='volumn',color='state')
fig.show(renderer="notebook")
In [11]:
name_volumn_visualize (a) ### You can hover over any line to see what state it corresponds to
In [12]:
### Approach 1 b.histogram of the volumn of the names each state was the first to adopt
def first_setter (df):
new = df.groupby('Name').agg({'Year_of_birth': 'min'})
new['Name_min']=new.index
new_df = pd.merge(left=new,right=a, how = 'inner', left_on=['Name_min','Year_of_birth'], right_on=['Name','Year_of_birth'])
### plotting
new_df = new_df.groupby('State').agg({'Name_min':'count'})
new_df['State']= new_df.index
fig = px.bar(x=new_df['State'], y=new_df['Name_min'])
fig.show(render = 'notebook')
In [13]:
first_setter(a)
*Reason behind choosing 500 names¶
- I performed a grid search over the top 100, 200, 500, 800, 1000, 2000 names to identify the best number to capture the overall popularity (share of the total name occurrences)¶
- From looking at the percentage change for each increase in number, I noticed that the percentage change start to shrink after 500 and I hence chose 500 as my popularity threshold¶
In [15]:
### Rationale for choosing 500
for i in [100,200,500,800,1000,2000]:
name_df = a.groupby('Name').agg({'Num_of_occurrences':'sum'}) ### identify top 1000 names
name_df.sort_values(by='Num_of_occurrences',ascending=False, inplace = True)
capture = name_df[0:i].Num_of_occurrences.sum()/name_df.Num_of_occurrences.sum()*100
print('the top {} names capture {}% percent of the total names'.format(i,capture))
digit1 = name_df[0:500].Num_of_occurrences.sum()
total = name_df.Num_of_occurrences.sum()
fig1, ax1 = plt.subplots()
ax1.pie([digit1,total-digit1], labels=['500 Names','Remaining Names'], autopct='%1.1f%%',shadow=True, startangle=90)
ax1.axis('equal') # Equal aspect ratio ensures that pie is drawn as a circle.
plt.show()
the top 100 names capture 39.45521947069439% percent of the total names the top 200 names capture 53.42057264604375% percent of the total names the top 500 names capture 74.01722053762172% percent of the total names the top 800 names capture 83.23716482201921% percent of the total names the top 1000 names capture 86.79426932944494% percent of the total names the top 2000 names capture 94.46100388291747% percent of the total names
In [16]:
### Approach 2: a. list of top 500 names
### b. the percentage of babies who used these 500 names in each state
def popular_converage(df):
name_df = df.groupby('Name').agg({'Num_of_occurrences':'sum'}) ### identify top 1000 names
name_df.sort_values(by='Num_of_occurrences',ascending=False, inplace = True)
top_500 = name_df[0:500].index.tolist()
df_top_500 = df[df.Name.isin(top_500)]
count_df = df_top_500.groupby('State').agg({'Name':'count'})
total_occur = a.groupby('State').agg({'Num_of_occurrences':'sum'})
count_df = pd.merge(count_df, total_occur,left_index=True, right_index=True)
count_df['Name_percent'] = count_df['Name']/count_df['Num_of_occurrences']
count_df.reset_index(inplace = True)
### plotting the bar chart of the top 500 words /num of occurences
plt.figure(figsize=(15,5))
x = count_df.State.tolist()
y_pos = np.arange(len(x))
y = count_df['Name_percent'].tolist()
plt.bar(y_pos, y, align='center', alpha=0.6)
plt.xticks(y_pos,x,rotation=90)
plt.ylabel('percentage of total occurrences')
plt.title('Percentage of Babies with the Top 500 Names across States',fontsize=20)
max_state = count_df[count_df['Name_percent']==count_df['Name_percent'].max()].State.values[0]
arrow_x = count_df[count_df['Name_percent']==count_df['Name_percent'].max()].index.values[0] + 0.5
arrow_y = count_df['Name_percent'].max()
plt.annotate('max state is {} and the total count is {}'.format(max_state,arrow_y) \
, xy=(arrow_x, arrow_y), xytext=(arrow_x+3, arrow_y), arrowprops=dict(facecolor="black", width=3,headwidth=10, shrink=0.2))
In [17]:
popular_converage(a)
Outcome¶
Approach 1:¶
a) Taxes at early times used the most number of unique names and around year 1955, New York and California surpassed it and owned the most number of unique names¶
b) California has the highest instances where it was the first state to use a name, followed by Taxes and New York¶
Approach 2:¶
a) & b) within the most popular names, Wyoming has the highest percentage usage of these names. (Number of babies with these top 500 names/ Total number of babies in that state)¶
Conclusion:¶
Our two approach method is able to derive a relatively comprehensive picture with potential improvement as stated above in limitation. It identifies that CA, NY, CA are leading the naming game by volumn and total first usage. Furthermore, it also shows that WY tend to have a large percentage of babies who use the nationwide popular names.¶
In [ ]:
Q4: Other Datasets and Potential Research Question¶
Question: As we identify the trendsetting state, we can further investigate other setting behaviors, for instance, is the state also leading certain consumption or spending pattern? Additionally, we can drill down to the conditions or attributes that enable these states to be trendsetters ? Maybe it is the state's overall economic power at the time, or they have some good practices in public or private sector? Also for the followers, what are some common characteristics?¶
Motivation: The trendsetting power is important for decision makers to consider when they want to implement a new change. By starting a pilot program or enacting a policy in the trendsetting state, they are increasing overall impact as other states have a tendency to follow afterwards. Therefore, I propose to look at other patterns these states are setting and incorporate them into correponding policies. Furthermore, I would like to see in the follower states, what type of households in terms of income level and financial standing, is more likely to follow the trend to name their babies. If we can identify who are likely to become a follower, government can then provide the right nudges to help them more informed decision
Dataset:¶
a) State Level: From 1910-2008: 1) GDP and average spending across sectors 2) Important policies and events 3) demographic and cultural distribution¶
b) Household Level: 1910-2008 1) Income, expense transaction, cashflow throughput 2) Total investment and/or debt 3) census data on the number of children born during the time period, the year these children were born and their names
In [ ]: